Big Data Engineer
London, London
Northrop Grumman
Posted 6 days ago
Job Viewed
Job Description
UK CITIZENSHIP REQUIRED FOR THIS POSITION: Yes
RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE TYPE: UK-Highest Level of Government Clearance
TRAVEL: Yes, 10% of the Time
**Salary: £77,400 - £116,000**
**Define Possible at Northrop Grumman UK**
At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible.
This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible?
**Opportunity:**
This is more than just a job; it's a mission.
As a Big Data Systems Engineer, you will be responsible for designing, implementing, and maintaining scalable big data systems that support our data science, machine learning, and AI workloads. You will work closely with cross-functional teams to ensure seamless data integration, security, and compliance with GDPR and privacy regulations. Your expertise in scripting, troubleshooting, and integration testing will be essential in optimizing our data pipelines and orchestration processes.
Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.
If you are looking for a career with meaning where you can make a difference to the nation's security and support critical missions, then look no further.
_"My purpose; to lead a team of engineers with the brightest minds, to push the boundaries and define possible together."_
**Role responsibilities:**
+ Scripting and Automation: Develop and maintain scripts for automating data processes and workflows.
+ Troubleshooting: Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations.
+ Integration Testing: Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems.
+ Linux Internals: Utilize in-depth knowledge of Linux internals to optimize performance and reliability of big data infrastructure.
+ Network Protocols: Apply understanding of TCP/IP and OSI models in the design and troubleshooting of networked systems.
+ Data Pipeline Support: Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow.
+ Scalable System Design: Design scalable big data systems with a focus on security, GDPR compliance, and privacy
+ Hybrid Cloud Management: Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively
+ Data Science Support: Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK.
+ Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing
+ BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights.
**We are looking for:**
+ Strong troubleshooting skills and the ability to diagnose and resolve complex technical issues.
+ Experience with integration testing and ensuring seamless tool integration.
+ In-depth knowledge of Linux internals and system administration.
+ Understanding of TCP/IP and OSI models.
+ Hands-on experience with data pipeline tools like NiFi and Airflow.
+ Proven ability to design scalable big data systems with a focus on security and GDPR compliance.
+ Hybrid cloud experience, specifically with on-premise and AWS cloud environments.
+ Familiarity with data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK.
+ Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch.
+ Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI.
+ Excellent communication and collaboration skills.
Preferred Qualifications:
+ Certification in AWS or other cloud platforms.
+ Experience with additional data orchestration tools.
+ Familiarity with other big data tools and technologies.
+ Previous experience in a similar role within a dynamic and fast-paced environment.
Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable.
**Work Environment:**
+ Full time on-site presence required
**If you don't meet every single requirement, we still encourage you to apply.**
Sometimes, people hesitate to apply because they can't tick every box. We encourage you to apply if you believe the role will suit you well, even if you don't meet all the criteria. You might be exactly who we are looking for, either for this position or for our opportunities at Northrop Grumman UK. We are on an exciting growth trajectory and growing our teams across the UK.
**Security clearance:**
You must hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: .
**Benefits:**
We can offer you a range of flexible working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits including private health care, cash health plan, holiday buy and sell, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team.
**Why join us?**
+ **A mission to believe in** **-** Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions, to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters.
+ **A place to belong and thrive** **-** Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to our partnerships with the Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong.
+ **Your career, your way** - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise, and nurture your passion. Looking for flexibility? Balance your professional career with your personal life through our health and wellbeing benefits, discount schemes, and investment in your future development. Speak to our team to find the balance that's right for you.
**Ready to apply?**
**Yes** - Submit your application online. Your application will be reviewed by our team and we will be in touch.
**Possibly, I'd like to find out more** **about this role** - Reach out to our team for more information and support: .
**No, I don't think this role is right for me** - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals.
Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
RELOCATION ASSISTANCE: Relocation assistance may be available
CLEARANCE TYPE: UK-Highest Level of Government Clearance
TRAVEL: Yes, 10% of the Time
**Salary: £77,400 - £116,000**
**Define Possible at Northrop Grumman UK**
At Northrop Grumman UK, our mission is to solve the most complex challenges by shaping the technology and solutions of tomorrow. We call it Defining Possible.
This mind-set goes beyond our customer solutions; it's the foundation for your career development and the impact we have within the community. So, what's your possible?
**Opportunity:**
This is more than just a job; it's a mission.
As a Big Data Systems Engineer, you will be responsible for designing, implementing, and maintaining scalable big data systems that support our data science, machine learning, and AI workloads. You will work closely with cross-functional teams to ensure seamless data integration, security, and compliance with GDPR and privacy regulations. Your expertise in scripting, troubleshooting, and integration testing will be essential in optimizing our data pipelines and orchestration processes.
Our UK Cyber & Intelligence business combines modern software development approaches with a rich heritage and experience in the Defence and security sectors. Our customers have complex and sensitive data and information requirements requiring a mission partner who quickly understands the context, delivering and sustaining a portfolio of challenging technology projects at scale and pace, supporting them through an ambitious digital transformation programme.
If you are looking for a career with meaning where you can make a difference to the nation's security and support critical missions, then look no further.
_"My purpose; to lead a team of engineers with the brightest minds, to push the boundaries and define possible together."_
**Role responsibilities:**
+ Scripting and Automation: Develop and maintain scripts for automating data processes and workflows.
+ Troubleshooting: Diagnose and resolve technical issues related to big data systems, data pipelines, and integrations.
+ Integration Testing: Conduct thorough testing to ensure seamless integration of new tools and technologies into existing systems.
+ Linux Internals: Utilize in-depth knowledge of Linux internals to optimize performance and reliability of big data infrastructure.
+ Network Protocols: Apply understanding of TCP/IP and OSI models in the design and troubleshooting of networked systems.
+ Data Pipeline Support: Manage and optimize data pipelines and orchestration tools such as NiFi and Airflow.
+ Scalable System Design: Design scalable big data systems with a focus on security, GDPR compliance, and privacy
+ Hybrid Cloud Management: Leverage hybrid cloud experience to manage on-premise and AWS cloud resources effectively
+ Data Science Support: Support data science, machine learning, and AI workloads using tools like Jupyter, Spacy, Transformers, and NLTK.
+ Big Data Platforms: Utilize big data NoSQL engines and platforms such as Hive, Impala, and Elasticsearch for data storage and processing
+ BI and Visualization: Implement and support business intelligence and visualization tools like Tableau, Kibana, and PowerBI to provide actionable insights.
**We are looking for:**
+ Strong troubleshooting skills and the ability to diagnose and resolve complex technical issues.
+ Experience with integration testing and ensuring seamless tool integration.
+ In-depth knowledge of Linux internals and system administration.
+ Understanding of TCP/IP and OSI models.
+ Hands-on experience with data pipeline tools like NiFi and Airflow.
+ Proven ability to design scalable big data systems with a focus on security and GDPR compliance.
+ Hybrid cloud experience, specifically with on-premise and AWS cloud environments.
+ Familiarity with data science, machine learning, and AI tools such as Jupyter, Spacy, Transformers, and NLTK.
+ Experience with big data NoSQL engines/platforms such as Hive, Impala, and Elasticsearch.
+ Proficiency with business intelligence and visualization tools like Tableau, Kibana, and PowerBI.
+ Excellent communication and collaboration skills.
Preferred Qualifications:
+ Certification in AWS or other cloud platforms.
+ Experience with additional data orchestration tools.
+ Familiarity with other big data tools and technologies.
+ Previous experience in a similar role within a dynamic and fast-paced environment.
Experience in Cloudera, Hadoop, Cloudera Data Science Workbench (CDSW), Cloudera Machine Learning (CML) would be highly desirable.
**Work Environment:**
+ Full time on-site presence required
**If you don't meet every single requirement, we still encourage you to apply.**
Sometimes, people hesitate to apply because they can't tick every box. We encourage you to apply if you believe the role will suit you well, even if you don't meet all the criteria. You might be exactly who we are looking for, either for this position or for our opportunities at Northrop Grumman UK. We are on an exciting growth trajectory and growing our teams across the UK.
**Security clearance:**
You must hold the highest level of UK Government security clearance. Our requirement team is on hand to answer any questions and we will guide you through the process: .
**Benefits:**
We can offer you a range of flexible working options to suit you, including optional compressed working schedule with every other Friday off. Our benefits including private health care, cash health plan, holiday buy and sell, career development opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team.
**Why join us?**
+ **A mission to believe in** **-** Every day we contribute to building a more secure and connected world, expanding our reach from land, sea, and air to space and cyberspace. From engineering data and intelligence solutions, to developing maritime navigation and control systems and innovating command and control systems for the UK and NATO, what we do together matters.
+ **A place to belong and thrive** **-** Every voice matters at our table meaning you can bring your authentic self to work. From our Employee Resource Groups backed by thousands of employees to our partnerships with the Association For Black and Minority Ethnic Engineers, Forces Transition Group, Mind, and Women in Defence - we are passionate about growing and supporting our inclusive community where everyone can belong.
+ **Your career, your way** - Shape your career journey with diverse roles, mentorship, and development opportunities that fuel your curiosity, channel your expertise, and nurture your passion. Looking for flexibility? Balance your professional career with your personal life through our health and wellbeing benefits, discount schemes, and investment in your future development. Speak to our team to find the balance that's right for you.
**Ready to apply?**
**Yes** - Submit your application online. Your application will be reviewed by our team and we will be in touch.
**Possibly, I'd like to find out more** **about this role** - Reach out to our team for more information and support: .
**No, I don't think this role is right for me** - Our extensive UK growth means we have exciting, new opportunities opening all the time. Speak to our team to discuss your career goals.
Northrop Grumman is committed to hiring and retaining a diverse workforce, and encourages individuals from all backgrounds and all abilities to apply and consider becoming a part of our diverse and inclusive workforce.
This advertiser has chosen not to accept applicants from your region.
0
Big Data Architect
London, London
InterEx Group
Posted today
Job Viewed
Job Description
For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data. Essential requirements: More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc. Experience in preparation answering RFPs: organize the offer solution team, solution definition, effort and cost estimation, Past experience in dealing with partners, tools vendors, etc. Business Domain Knowledge More than 5 years of experience in Big Data implementation projects Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc. Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.) Previous involvement in working in a Multilanguage and multicultural environment Proactive, tech passionate and highly motivated Desirable requirements: Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,… Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point on-site presence in the customer office in Madrid). We look forward to receiving your application!
This advertiser has chosen not to accept applicants from your region.
1
Big Data Architect
Greater London, London
InterEx Group
Posted 2 days ago
Job Viewed
Job Description
For this role, you will be responsible for providing the framework that appropriately replicates the Big Data needs of a company utilizing data.
Essential requirements:
- More than 3 years of presales experience in the design of Big Data and Data analytics solutions according to customer requirements
- Previous experience with the preparation of high-quality engaging customer presentations, excellent communication skills, experience in conversations at CxO level, ability to adapt the message to the customer feedback, etc.
- Experience in preparation answering RFPs: organize the offer solution team, solution definition, effort and cost estimation,
- Past experience in dealing with partners, tools vendors, etc.
- Business Domain Knowledge
- More than 5 years of experience in Big Data implementation projects
- Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
- Past experience in Data Engineering and data quality tools (Informatica, Talend, etc.)
- Previous involvement in working in a Multilanguage and multicultural environment
- Proactive, tech passionate and highly motivated
Desirable requirements:
- Experience in Data analysis and visualization solutions: Microstrategy, Qlik, PowerBI, Tableau, Looker,…
- Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc.
- Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc
General information:
- Start Date: ASAP
- Length of Contract: 1 year (minimum)
- Work Location: Madrid
- Remote working. (It may be necessary at some point on-site presence in the customer office in Madrid).
We look forward to receiving your application!
This advertiser has chosen not to accept applicants from your region.
2
Databricks Architect (Modern Big Data)
London, London
NTT America, Inc.
Posted 6 days ago
Job Viewed
Job Description
**The team you'll be working with:**
We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernisation journeys.
As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation.
**What you'll be doing:**
**Primary Responsibilities:**
+ Client Engagement & Delivery
+ Solution Design & Implementation
+ Modernisation & Transformation
+ Thought Leadership & Knowledge Sharing
+ Collaboration & Leadership
**Business Relationships:**
+ Client Partners
+ Practice Leaders and Members
+ Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level
**What experience you'll bring:**
**Must-Have Competencies:**
+ 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
+ Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
+ Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
+ Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
+ Databricks platform expertise - Deep hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and multi-cloud implementations
**Must be eligible for SC clearance**
**Nice to Have:**
+ Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
+ Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
+ Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
+ AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
+ Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
**Experience, Qualifications:**
+ Experience: Minimum 8-12 years in data architecture, engineering, or consulting, with at least 4+ years in modern big data solution architecture.
+ Education: University degree required.
+ Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.
+ Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Back to search Email to a friend Apply now
We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernisation journeys.
As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation.
**What you'll be doing:**
**Primary Responsibilities:**
+ Client Engagement & Delivery
+ Solution Design & Implementation
+ Modernisation & Transformation
+ Thought Leadership & Knowledge Sharing
+ Collaboration & Leadership
**Business Relationships:**
+ Client Partners
+ Practice Leaders and Members
+ Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level
**What experience you'll bring:**
**Must-Have Competencies:**
+ 8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
+ Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
+ Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
+ Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
+ Databricks platform expertise - Deep hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and multi-cloud implementations
**Must be eligible for SC clearance**
**Nice to Have:**
+ Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
+ Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
+ Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
+ AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
+ Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
**Experience, Qualifications:**
+ Experience: Minimum 8-12 years in data architecture, engineering, or consulting, with at least 4+ years in modern big data solution architecture.
+ Education: University degree required.
+ Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.
+ Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable.
**Who we are:**
We're a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women's Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA ( we'll offer you:**
We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK & Ireland here: are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Back to search Email to a friend Apply now
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Engineer - Big Data Platforms
SW1A 0AA London, London
£80000 Annually
WhatJobs
Posted 15 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and visionary Lead Data Engineer to spearhead the development and optimization of their big data infrastructure. This senior role is critical for enabling data-driven decision-making across the organization by building and maintaining robust, scalable, and efficient data pipelines. You will be responsible for designing, implementing, and managing our data lakes, data warehouses, and ETL/ELT processes, ensuring data quality, reliability, and accessibility for analytics and machine learning teams.
The ideal candidate will possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, with a minimum of 7 years of professional experience in data engineering. Extensive hands-on experience with distributed big data technologies such as Apache Spark, Hadoop, Kafka, and cloud-based data services (e.g., AWS EMR, Azure Databricks, Google Cloud Dataflow) is essential. Proficiency in SQL and NoSQL databases, as well as strong programming skills in Python or Scala, are required. You should have a deep understanding of data warehousing concepts, data modeling, and ETL/ELT best practices. Experience in designing and implementing robust data governance and data quality frameworks is highly desirable. Strong leadership qualities, with the ability to mentor junior engineers, guide technical strategy, and collaborate effectively with cross-functional teams (data scientists, analysts, business stakeholders), are paramount.
This role offers a unique opportunity to shape the future of data architecture within a dynamic and growing company. You will be instrumental in architecting solutions that handle vast amounts of data, unlock new insights, and drive business value. The position involves a hybrid working model, allowing for flexibility while fostering team collaboration. You will be based in our state-of-the-art offices in London, England, UK , working with cutting-edge technologies and solving complex data challenges. Join a team committed to excellence and innovation in the heart of the tech industry.
Key Responsibilities:
The ideal candidate will possess a Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field, with a minimum of 7 years of professional experience in data engineering. Extensive hands-on experience with distributed big data technologies such as Apache Spark, Hadoop, Kafka, and cloud-based data services (e.g., AWS EMR, Azure Databricks, Google Cloud Dataflow) is essential. Proficiency in SQL and NoSQL databases, as well as strong programming skills in Python or Scala, are required. You should have a deep understanding of data warehousing concepts, data modeling, and ETL/ELT best practices. Experience in designing and implementing robust data governance and data quality frameworks is highly desirable. Strong leadership qualities, with the ability to mentor junior engineers, guide technical strategy, and collaborate effectively with cross-functional teams (data scientists, analysts, business stakeholders), are paramount.
This role offers a unique opportunity to shape the future of data architecture within a dynamic and growing company. You will be instrumental in architecting solutions that handle vast amounts of data, unlock new insights, and drive business value. The position involves a hybrid working model, allowing for flexibility while fostering team collaboration. You will be based in our state-of-the-art offices in London, England, UK , working with cutting-edge technologies and solving complex data challenges. Join a team committed to excellence and innovation in the heart of the tech industry.
Key Responsibilities:
- Design, build, and maintain scalable big data pipelines and infrastructure.
- Develop and optimize ETL/ELT processes for data ingestion and transformation.
- Manage and enhance data lakes and data warehouses.
- Ensure data quality, integrity, and reliability.
- Implement data governance and security best practices.
- Lead and mentor a team of data engineers.
- Collaborate with data scientists and analysts to meet their data needs.
- Evaluate and adopt new data technologies and tools.
This advertiser has chosen not to accept applicants from your region.
4
Senior Data Management Professional - Data Science - Data Management Lab
London, London
Bloomberg
Posted 6 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Science - Data Management Lab
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3+ years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
This advertiser has chosen not to accept applicants from your region.
5
Data Management Specialist
London, London
£28000 annum
LEAP Legal Software
Posted 8 days ago
Job Viewed
Job Description
Conveyancing Manager, Remote Office
- Permanent, full-time, Remote working.
About LEAP
LEAP is the leading provider of Legal Practice Productivity Solutions in the world and is part of ATI, one of the largest international LegalTech companies. For more than 30 years, our curiosity and commitment to continual improvement have kept us reimagining productivity tools for lawyers and their staff to support our guiding purpose, to ‘Help lawyers who help people’. The market-leading software we develop and support is used by more than 100,000 lawyers and their staff in small and medium-sized law firms.
Working alongside our international team of passionate high achievers, you’ll join a fast-growing technology business where things seldom stay the same for long. With more than 1000 smart, caring, and ambitious ‘LEAPsters’ working together across Australia, Canada, the United States, the United Kingdom, the Republic of Ireland, Poland, and New Zealand, you’ll find yourself in good company here.
Meet the team
We are looking for a Data Management Specialist to join our Demonstration Data Management Group (DDX), based in the UK and supporting UK and Canadian data environments. In this role, you’ll collaborate with Managers and Leaders across Australia, the UK, the US, and Canada, contributing to the development and maintenance of high-quality demonstration data.
You’ll be responsible for creating, managing, and maintaining accurate, complete, and reliable data used to demonstrate LEAP to clients and internal teams. Training will be provided on the DDX Tool.
Working closely with colleagues, you’ll ensure data quality, accessibility, and integrity across all LEAP demonstration datasets, while supporting data governance and analysis activities.
Success in this role requires a hands-on, proactive approach and the ability to collaborate effectively with global stakeholders.
Requirements
What you'll do
- Proactively liaising with various stakeholders to understand location specific data requirements.
- Understanding the client’s data requirements and the ability to translate these requirements into functional. specifications for implementation and delivery.
- Maintaining documentation, including training, delivery, and processes.
- Preparing and delivering standard and custom training events via web conference tools, web meeting, or standard classroom methods in a one on one or group situation (including the ability to amend and revise programs as necessary, to adapt to changes occurring in the work environment).
- Ability to investigate and resolve issues raised by departments that relate to LEAP data.
- Support DDX Developers with issues escalated in the DDX Projects.
What you'll bring
- Experience with LEAP is preferred, however, not essential.
- Experience with datafile creations.
- Experience creating matters, documents, time, cost recoveries, invoices, and receipts.
- Ability to self-motivate and work autonomously.
- Experience in creating technical documentation specifications.
- Strong verbal and written skills.
- Strong delivery focus to complete tasks within the schedule and quality standards.
- Strong problem-solving skills, analysis skills, and attention to detail.
- Demonstrable stakeholder management experience, with a proven ability to build positive relationships and engage people across all levels of the organisation.
- Excellent written and verbal presentation skills, with experience in presenting to senior management.
LEAP is an inclusive, people-first company committed to breaking down institutional barriers that keep people from reaching their potential. If you meet some, but not all, of the requirements above, we encourage you to still submit your application
Benefits
What you'll get
A friendly, supportive, and driven company culture, where innovation and collaboration are at the heart of what we do.
You will receive a competitive salary, and an excellent benefits package:
- LEAP pays 8% of your salary into your pension.
- Private health insurance, including optical and dental.
- £80 a month gym contribution.
- Life insurance cover.
- Employee Assistance Program.
- Generous Professional Development Fund.
- Enhanced parental leave.
- PerkBox membership.
- Cycle to work scheme.
- 25 days holiday (plus 8 bank holidays).
- Work anniversary rewards.
- Paid time off to give blood.
- Volunteer day – We offer 1 day per year for a charity of your choice.
- Free healthy breakfast, light lunch, and snacks.
- A dog friendly office.
Life at LEAP
LEAP is all about impact, growth, and ownership. We’re united by a genuine passion for what we do, enriched by the care we show to our customers and each other, and driven by the difference we can make together.
LEAPster culture is about prioritising and celebrating the incredible humans behind our market-leading technology. Think flexible hybrid work, enhanced parenting policy, regular social events, free gym membership, and so much more.
We strongly believe that personal development and career progression are at the heart of a healthy, high-performing culture, and we’re committed to empowering LEAPsters with resources and career pathways to explore. With us, your career will grow as you do, with opportunities to step into new roles, explore new departments, and even work abroad.
More you should know
Discover the human side of cutting edge LegalTech
Discover more LEAP opportunities
Closing Date: Friday, 31st October
We reserve the right to close this vacancy early if we receive a high volume of suitable applications. We encourage interested candidates to apply as soon as possible.
It’s fine to use AI to help with your application, just keep it genuine and make sure it reflects you.
A real person will read your CV and chat with you if you’re invited to interview. We want to get to know the real you, not just ChatGPT!
This advertiser has chosen not to accept applicants from your region.
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6
Director Clinical Data Management
Uxbridge, London
Amgen
Posted 6 days ago
Job Viewed
Job Description
**HOW MIGHT YOU DEFY IMAGINATION?**
At Amgen, every challenge is an opportunity. And every opportunity brings the potential to change lives. Our shared mission-to serve patients-has driven our status as one of the world's preeminent biotechnology companies, reaching over 10 million patients worldwide. Leverage your high-level expertise to lead and forge partnerships that advance the biotechnical and biopharmaceutical science that can turn the tide of serious, life-interrupting illnesses.
**DIRECTOR CLINICAL DATA MANAGEMENT**
**Live**
**What You Will Do**
The Amgen Global Clinical Data Management team is looking for an experienced Director to lead our data management team on the aspiration of optimizing and delivering an industry admired clinical evidence platform to deliver innovative medicines to patients with unmet medical needs.
You will lead and manage Data Management (DM) teams within a specific DM operational business unit. The Director will set and drive forward the vision and strategy for DM as a member of the DM and GSO Leadership Team.
You will be accountable for leadership and oversight of the data management organization; ensuring operational excellence and consistency in clinical trial execution. In this role you will be accountable for building and developing a high performing internal data management team, as well as ensuring engagement and alignment of Amgen's strategy and priorities with the Functional Service Provider (FSP).
In this role you will be part of the Global Study Operations (GSO) leadership team, accountable for the delivery of quality clinical trials through industry-leading execution of innovative processes, strong cross-functional partnerships, and best-use of clinical systems and analytics to guide site and study operations. The role will support acceleration of clinical programs and other continuous improvement efforts, applying innovative thinking in shaping future strategy.
Our Global Clinical Data Management Team:
The Global Clinical Data Management Team comprises approximately 50 people. The three Directors, as part of the wider GSO organization and reporting into the Executive Director, Global Study Operations, work together to meet the demands of an industry leading, fast paced, high throughput organization with a commitment to compliance, quality and standards.
**Responsibilities:**
+ Oversight of a distinct DM operational unit (e.g. therapy area, cross-product area)
+ Recruiting, managing and developing staff
+ Global resource planning and assignments
+ Setting of functional goals and objectives
+ Creating and implementing GSO & DM strategies developing, reviewing, implementing and enforcing data standards
+ Ensuring DM processes/systems meet regulatory and business requirements
+ Be an active member of the Leadership Team to provide a foundation for GSO success
**Key activities will include:**
+ Team management including performance, coaching and development
+ Develop, review and implement policies, SOPs and associated documents affecting DM globally
+ Set vision, strategy and direction for DM group; develop annual goals and objectives
+ Accountable for and oversee DM FSP relationships; ensuring goals of product areas and systems groups can be met via the FSP
+ Define and maintain Service Level Agreements and Key Performance Indicators; including oversight of quality and CAPA management
+ Governance oversight -ensure visibility into performance of FSPs to the department
+ Sponsor, Lead and participate in cross functional working groups
+ Resource and budget management for global function Ensure adequate training and capability within area and be accountable for staff compliance with all DM processes
+ Vendor management (development of strategies, contract management, relationship management, etc)
+ Respond to audit/inspection findings
+ Be accountable for and oversee all study deliverables and submission activities for products within group
+ Ensure that status information on DM activities is available and is acted on as needed
**Win**
**What We Expect Of You**
We are all different, yet we all use our unique contributions to serve patients. The data management professional we seek is a collaborator with these qualifications.
+ Degree educated in relevant field or in life science, computer science, business administration or related discipline
+ Extensive experience in data management in the Pharmaceutical or Biotech arena
+ Experience in rare disease therapeutic area in a leadership role
+ Broad experience of working in a global organization
+ Experience at or oversight of outside vendors (CRO's, central labs, imaging vendors, etc)
+ Extensive managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
+ Strategic and innovative thinker with experience of driving operational excellence
+ Excellent relationship building skills with the ability to influence and make business impact
+ Ability to work collaboratively cross functionally with ability to influence and drive decisions
+ Proven experience within oversight of clinical research suppliers
+ Project management
+ Previous experience in a global, matrix organization
+ Excellent organizational and interpersonal skills
+ Ability to anticipate and problem solve challenging issues
**THRIVE**
**What you can expect of us**
As we work to develop treatments that take care of others, so we work to care for our teammates' professional and personal growth and well-being.
+ Vast opportunities to learn and move up and across our global organization
+ Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
+ Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits
**LOCATION:** Ability to work flexibly from home with regular office work either from our Cambridge or Uxbridge next generation workspace.
**APPLY NOW**
**for a career that defies imagination**
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
**careers.amgen.com**
**Equal Opportunity Statement**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
At Amgen, every challenge is an opportunity. And every opportunity brings the potential to change lives. Our shared mission-to serve patients-has driven our status as one of the world's preeminent biotechnology companies, reaching over 10 million patients worldwide. Leverage your high-level expertise to lead and forge partnerships that advance the biotechnical and biopharmaceutical science that can turn the tide of serious, life-interrupting illnesses.
**DIRECTOR CLINICAL DATA MANAGEMENT**
**Live**
**What You Will Do**
The Amgen Global Clinical Data Management team is looking for an experienced Director to lead our data management team on the aspiration of optimizing and delivering an industry admired clinical evidence platform to deliver innovative medicines to patients with unmet medical needs.
You will lead and manage Data Management (DM) teams within a specific DM operational business unit. The Director will set and drive forward the vision and strategy for DM as a member of the DM and GSO Leadership Team.
You will be accountable for leadership and oversight of the data management organization; ensuring operational excellence and consistency in clinical trial execution. In this role you will be accountable for building and developing a high performing internal data management team, as well as ensuring engagement and alignment of Amgen's strategy and priorities with the Functional Service Provider (FSP).
In this role you will be part of the Global Study Operations (GSO) leadership team, accountable for the delivery of quality clinical trials through industry-leading execution of innovative processes, strong cross-functional partnerships, and best-use of clinical systems and analytics to guide site and study operations. The role will support acceleration of clinical programs and other continuous improvement efforts, applying innovative thinking in shaping future strategy.
Our Global Clinical Data Management Team:
The Global Clinical Data Management Team comprises approximately 50 people. The three Directors, as part of the wider GSO organization and reporting into the Executive Director, Global Study Operations, work together to meet the demands of an industry leading, fast paced, high throughput organization with a commitment to compliance, quality and standards.
**Responsibilities:**
+ Oversight of a distinct DM operational unit (e.g. therapy area, cross-product area)
+ Recruiting, managing and developing staff
+ Global resource planning and assignments
+ Setting of functional goals and objectives
+ Creating and implementing GSO & DM strategies developing, reviewing, implementing and enforcing data standards
+ Ensuring DM processes/systems meet regulatory and business requirements
+ Be an active member of the Leadership Team to provide a foundation for GSO success
**Key activities will include:**
+ Team management including performance, coaching and development
+ Develop, review and implement policies, SOPs and associated documents affecting DM globally
+ Set vision, strategy and direction for DM group; develop annual goals and objectives
+ Accountable for and oversee DM FSP relationships; ensuring goals of product areas and systems groups can be met via the FSP
+ Define and maintain Service Level Agreements and Key Performance Indicators; including oversight of quality and CAPA management
+ Governance oversight -ensure visibility into performance of FSPs to the department
+ Sponsor, Lead and participate in cross functional working groups
+ Resource and budget management for global function Ensure adequate training and capability within area and be accountable for staff compliance with all DM processes
+ Vendor management (development of strategies, contract management, relationship management, etc)
+ Respond to audit/inspection findings
+ Be accountable for and oversee all study deliverables and submission activities for products within group
+ Ensure that status information on DM activities is available and is acted on as needed
**Win**
**What We Expect Of You**
We are all different, yet we all use our unique contributions to serve patients. The data management professional we seek is a collaborator with these qualifications.
+ Degree educated in relevant field or in life science, computer science, business administration or related discipline
+ Extensive experience in data management in the Pharmaceutical or Biotech arena
+ Experience in rare disease therapeutic area in a leadership role
+ Broad experience of working in a global organization
+ Experience at or oversight of outside vendors (CRO's, central labs, imaging vendors, etc)
+ Extensive managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources
+ Strategic and innovative thinker with experience of driving operational excellence
+ Excellent relationship building skills with the ability to influence and make business impact
+ Ability to work collaboratively cross functionally with ability to influence and drive decisions
+ Proven experience within oversight of clinical research suppliers
+ Project management
+ Previous experience in a global, matrix organization
+ Excellent organizational and interpersonal skills
+ Ability to anticipate and problem solve challenging issues
**THRIVE**
**What you can expect of us**
As we work to develop treatments that take care of others, so we work to care for our teammates' professional and personal growth and well-being.
+ Vast opportunities to learn and move up and across our global organization
+ Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
+ Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits
**LOCATION:** Ability to work flexibly from home with regular office work either from our Cambridge or Uxbridge next generation workspace.
**APPLY NOW**
**for a career that defies imagination**
In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.
**careers.amgen.com**
**Equal Opportunity Statement**
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
This advertiser has chosen not to accept applicants from your region.
7
Resource Data Management Analyst
London, London
MUFG
Posted 6 days ago
Job Viewed
Job Description
**Do you want your voice heard and your actions to count?**
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a "one stop solution" for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management**
+ Manage cleaning resource data in workday.
+ Run training via the new starter induction and creation of org charts on Kizuna.
+ Creation of headcount reporting data monthly / quarterly / annually.
**Technology Recruitment**
+ Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff.
+ Creation of recruitment and rate reporting.
**The primary purpose of the Resource Data Management Analyst is to:**
+ Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
+ Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
+ Lead daily team stand up via teams.
+ Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
+ Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
+ Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
+ Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
+ Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
+ Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
+ Creation of office attendance for contingent workers. Method for this is excel macros.
+ Run the Technology new starter induction, which occurs twice a month.
+ Creation of the Technology organisation chart. Method for this is via Visio.
+ Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
+ Strong excel skills. Be able to build and run macros and power queries.
+ Strong power BI skills. Be able to build and update reporting in power BI.
+ Strong visio skills. Be able to create workflows and org charts.
+ Strong numerical skills. To aid day-to-day activities.
+ Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
+ Client Centric
+ People Focused
+ Listen Up. Speak Up.
+ Innovate & Simplify
+ Own & Execute
Discover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 120,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.
With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.
Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.
**Overview of Resource Management Team:**
The goal of the team is to provide a "one stop solution" for the supply and demand of people across Technology. Ensuring all resource management processes are robust, and deliver the necessary outcomes for Technology. We achieve this by ensuring that resource data is accurate, complete and available on a timely basis through various reporting deliverables. The team work closely with HR, Finance, Project Governance, Project Delivery, Procurement and Technology leads to inform and educate, as well as executing changes directly. The team is divided into two main functions, the role in question fits within the Technology Resource Data Management sub-team.
**Resource Data Management**
+ Manage cleaning resource data in workday.
+ Run training via the new starter induction and creation of org charts on Kizuna.
+ Creation of headcount reporting data monthly / quarterly / annually.
**Technology Recruitment**
+ Process all recruitment requests for BAU and Project. Monitoring budget against hiring / replacing / extending staff.
+ Creation of recruitment and rate reporting.
**The primary purpose of the Resource Data Management Analyst is to:**
+ Own and clean the resource data in workday which is the golden source. The team receives updates on resource data from multiple sources for example line managers and business supports. From that point onwards the teams is to educate others to follow the process, rather than our team completing the actions.
+ Own, produce and publish the headcount data per month, per quarter and annual with the use of excel and power BI.
**Key Responsibilities:**
+ Lead daily team stand up via teams.
+ Run daily checks on resource data changes/updates in workday. Method for this is a combination of excel macros and power queries
+ Creation of weekly reporting to HR to highlight changes. Method for this is excel macros.
+ Creation of weekly reporting to line managers to highlight contingent worker end dates within the next 10 weeks. Method for this is excel macros.
+ Co-ordinating with the line managers, HR, procurement and access management regarding JML process.
+ Creation of monthly headcount reporting. Method for this is a combination of excel and power BI.
+ Ensure resource cost data is accurate for reporting into Finance to calculate budgets.
+ Creation of office attendance for contingent workers. Method for this is excel macros.
+ Run the Technology new starter induction, which occurs twice a month.
+ Creation of the Technology organisation chart. Method for this is via Visio.
+ Maintain and enhance good working relationships with the teams stakeholders.
**Skills and Experience:**
Technical Capability
+ Strong excel skills. Be able to build and run macros and power queries.
+ Strong power BI skills. Be able to build and update reporting in power BI.
+ Strong visio skills. Be able to create workflows and org charts.
+ Strong numerical skills. To aid day-to-day activities.
+ Degree level educated. Although equivalent work experience, or apprentice level experience also relevant.
We are open to considering flexible working requests in line with organisational requirements.
MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.
We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.
At MUFG, our colleagues are our greatest assets. Our Culture Principles provide a roadmap for how each of our colleagues must think and act to become more client-obsessed, inclusive and innovative. They reflect who we are, who we want to be and what we expect from one another. We are excited to see you take the next step in exploring a career with us and encourage you to spend more time reviewing them!
**Our Culture Principles**
+ Client Centric
+ People Focused
+ Listen Up. Speak Up.
+ Innovate & Simplify
+ Own & Execute
This advertiser has chosen not to accept applicants from your region.
8
Senior Data Management Professional - Data Engineer - EVTS
London, London
Bloomberg
Posted 15 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Engineer - EVTS
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
The Events & Transcripts (EVTS) Data team operates at the intersection of Product, Engineering, and AI, delivering market-critical data that powers Bloomberg's Corporate Events and Transcripts product EVTS. From earnings calls and shareholder meetings to product launches and conferences, we maintain a global, centralized calendar of market-moving events enriched with transcripts and AI-driven insights.
Our data is embedded in the daily workflows of analysts, traders, and quantitative analysts who depend on accuracy, timeliness, and coverage to act on market-moving signals. We combine scalable ETL pipelines with human-in-the-loop curation to handle the full data lifecycle, ensuring our content meets the highest standards of quality and reliability.
**What's the role?**
Events & Transcripts (EVTS) Data team is seeking a highly motivated Data Engineer with a passion for finance, data, and technology to build and optimize pipelines that power Bloomberg's corporate events and transcripts products. You will be a technical leader, responsible for devising scalable solutions that enhance the accuracy, timeliness, and integrity of our datasets while enabling automation and driving client impact.
In this role, you will be responsible for the transformation, and distribution of structured and unstructured data across EVTS Calendar and Streaming Products. Working closely with Product, Engineering, AI, and Data Technologies, you will modernize our workflows to deliver fit-for-purpose data that underpins critical market workflows.
**We'll Trust You To:**
- Design, build, and maintain robust, scalable data pipelines that support ingestion, transformation, and delivery of large, complex datasets using Bloomberg's Data Technologies stack (Dataflow Recipes) or equivalent frameworks (AWS S3, Lambda, Kafka, Apache Airflow, Python)
- Acquire and normalize data from diverse structured and unstructured sources, expanding coverage and ensuring transparency in how data is collected, enriched, and delivered.
- Analyze and improve internal processes, applying programmatic and machine learning approaches to increase efficiency and automation.
- Design and implement Control frameworks, applying statistical methods and data profiling to identify, validate, and resolve data gaps at scale.
- Collaborate with Engineering, AI, and Product partners to enhance Data Ingestion pipelines, integrate AI driven automation, and deliver scalable, client-ready datasets.
- Lead modernization efforts to evolve EVTS data workflows, ensuring interoperability across systems and enabling broader reuse of data assets.
- Safeguard the creation of high-quality training data for Generative AI extraction models in collaboration with SMEs/AI Engineering.
- Mentor peers and supply technical leadership, guiding design decisions and fostering knowledge-sharing across the team.
- Stay ahead of industry standard methodologies in data engineering, AI-driven automation frameworks to drive continuous improvement.
- Work in a fast-paced, complex, and collaborative setting and be ready to take a hands-on-role in our Data initiatives.
**You'll Need to Have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
- BA/BS degree or higher in Computer Science, Statistics, Finance, Data Analytics, or a related STEM/business field, or equivalent professional work experience.
- 3+ years of experience in data quality management, data engineering, or data profiling, ideally within financial data, market research, or technology domains.
- Strong proficiency in Python with hands-on experience manipulating and analyzing large datasets.
- Familiarity with ETL workflows, APIs, and data engineering concepts, with the ability to work across distributed systems.
- Demonstrated expertise in data engineering, with a consistent record of implementing scalable ETL pipelines and data workflows.
- Proven track record to analyze client workflows and dataset usage to ensure data is fit-for-purpose and aligned with business needs.
- Demonstrated expertise in data management principles - including data quality, governance, anomaly detection, and lifecycle management.
- Excellent analytical and problem-solving skills, with the ability to apply quantitative methods to improve processes and guide decisions.
- Strong project management and collaboration skills, with experience leading multi-functional initiatives in fast-paced, global environments.
- Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
We'd Love to See:
- Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
- Keen interest and familiarity with Generative AI frameworks.
- Experience working within an Agile/Scrum development methodology, with the ability to adapt processes for data engineering and quality initiatives.
- Experience manipulating and wrangling large datasets to enable scalable quality checks, enrichment, and automation.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
London
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
The Events & Transcripts (EVTS) Data team operates at the intersection of Product, Engineering, and AI, delivering market-critical data that powers Bloomberg's Corporate Events and Transcripts product EVTS. From earnings calls and shareholder meetings to product launches and conferences, we maintain a global, centralized calendar of market-moving events enriched with transcripts and AI-driven insights.
Our data is embedded in the daily workflows of analysts, traders, and quantitative analysts who depend on accuracy, timeliness, and coverage to act on market-moving signals. We combine scalable ETL pipelines with human-in-the-loop curation to handle the full data lifecycle, ensuring our content meets the highest standards of quality and reliability.
**What's the role?**
Events & Transcripts (EVTS) Data team is seeking a highly motivated Data Engineer with a passion for finance, data, and technology to build and optimize pipelines that power Bloomberg's corporate events and transcripts products. You will be a technical leader, responsible for devising scalable solutions that enhance the accuracy, timeliness, and integrity of our datasets while enabling automation and driving client impact.
In this role, you will be responsible for the transformation, and distribution of structured and unstructured data across EVTS Calendar and Streaming Products. Working closely with Product, Engineering, AI, and Data Technologies, you will modernize our workflows to deliver fit-for-purpose data that underpins critical market workflows.
**We'll Trust You To:**
- Design, build, and maintain robust, scalable data pipelines that support ingestion, transformation, and delivery of large, complex datasets using Bloomberg's Data Technologies stack (Dataflow Recipes) or equivalent frameworks (AWS S3, Lambda, Kafka, Apache Airflow, Python)
- Acquire and normalize data from diverse structured and unstructured sources, expanding coverage and ensuring transparency in how data is collected, enriched, and delivered.
- Analyze and improve internal processes, applying programmatic and machine learning approaches to increase efficiency and automation.
- Design and implement Control frameworks, applying statistical methods and data profiling to identify, validate, and resolve data gaps at scale.
- Collaborate with Engineering, AI, and Product partners to enhance Data Ingestion pipelines, integrate AI driven automation, and deliver scalable, client-ready datasets.
- Lead modernization efforts to evolve EVTS data workflows, ensuring interoperability across systems and enabling broader reuse of data assets.
- Safeguard the creation of high-quality training data for Generative AI extraction models in collaboration with SMEs/AI Engineering.
- Mentor peers and supply technical leadership, guiding design decisions and fostering knowledge-sharing across the team.
- Stay ahead of industry standard methodologies in data engineering, AI-driven automation frameworks to drive continuous improvement.
- Work in a fast-paced, complex, and collaborative setting and be ready to take a hands-on-role in our Data initiatives.
**You'll Need to Have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
- BA/BS degree or higher in Computer Science, Statistics, Finance, Data Analytics, or a related STEM/business field, or equivalent professional work experience.
- 3+ years of experience in data quality management, data engineering, or data profiling, ideally within financial data, market research, or technology domains.
- Strong proficiency in Python with hands-on experience manipulating and analyzing large datasets.
- Familiarity with ETL workflows, APIs, and data engineering concepts, with the ability to work across distributed systems.
- Demonstrated expertise in data engineering, with a consistent record of implementing scalable ETL pipelines and data workflows.
- Proven track record to analyze client workflows and dataset usage to ensure data is fit-for-purpose and aligned with business needs.
- Demonstrated expertise in data management principles - including data quality, governance, anomaly detection, and lifecycle management.
- Excellent analytical and problem-solving skills, with the ability to apply quantitative methods to improve processes and guide decisions.
- Strong project management and collaboration skills, with experience leading multi-functional initiatives in fast-paced, global environments.
- Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
We'd Love to See:
- Formal knowledge of data governance and data management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.)
- Keen interest and familiarity with Generative AI frameworks.
- Experience working within an Agile/Scrum development methodology, with the ability to adapt processes for data engineering and quality initiatives.
- Experience manipulating and wrangling large datasets to enable scalable quality checks, enrichment, and automation.
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
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