32 Data Engineering jobs in London

Manager - Data Engineering
Would you like to ensure the successful delivery of the Data Platform and Software Innovations?
Do you enjoy creating a collaborative and customer-focused working environment?
About our team:
LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.
About the role:
At LexisNexis Intellectual Property (LNIP), our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. We help innovators make more informed decisions, be more productive, and ultimately achieve superior results. By helping our customers achieve their goals, we support the development of new technologies and processes that ultimately advance humanity.
As the Manager of Data Engineering at LexisNexis Intellectual Property (LNIP), you will lead and grow high-performing engineering teams responsible for delivering robust, scalable data solutions. You will provide both technical and strategic leadership - guiding development practices, overseeing project timelines and resource allocation, and ensuring high-quality, reliable delivery. You'll work closely with cross-functional teams, including product, architecture, and analytics to ensure technical execution is aligned with business priorities. Your leadership will be instrumental in driving platform evolution, enabling downstream use cases, and fostering a culture of accountability, adaptability, and engineering excellence.
Key Responsibilities:
+ Champion platform-first thinking to minimise duplication, improve scalability, and support long-term growth.
+ Communicate proactively and transparently with stakeholders to provide updates, surface risks, and align on direction.
+ Proactively manage team capacity by identifying future resourcing needs, shaping team structure, and partnering with hiring teams to plan.
+ Lead and develop high-performing data engineering teams through coaching, clear goal-setting, and regular feedback.
+ Provide technical and strategic direction to enable the delivery of scalable solutions to complex business problems.
+ Own the planning, execution, and delivery of data engineering projects, ensuring high-quality, production-ready outcomes.
+ Collaborate cross-functionally with product, architecture, and analytics teams to align delivery with business priorities.
+ Ensure people-related processes (e.g., onboarding, remote work, probation) are managed in line with HR and compliance expectations.
+ Foster a culture of continuous improvement through retrospectives, root cause analysis, and data-informed decisions.
Requirements:
+ Hands-on experience within a software development environment.
+ Proven track record of managing and scaling high-performing data engineering teams.
+ Demonstrated experience in coaching and mentoring teams in software development best practices.
+ Strong knowledge of Agile development methodologies, including CI/CD, iterative delivery, and process optimisation.
+ Experience designing, building, and operating large-scale data platforms supporting end-user products, analytics, and BI use cases via ETL processes.
+ Ability to articulate system architecture and identify gaps between current and target states.
+ Experience leading global development teams across multiple time zones.
+ Ability to foster a collaborative learning environment that encourages continuous improvement and knowledge sharing.
Nice to Have:
+ Familiarity with technologies such as Elasticsearch, Solr, PostgreSQL, Databricks, Delta Share, and Delta Lake.
+ Experience working with complex patent and litigation data models.
+ Exposure to external data sources such as DocDB, Espacenet, and USPTO.
+ Proficiency with Pandas and PySpark.
+ Knowledge of software engineering best practices and development lifecycle.
+ Experience with API design, integration, and management.
Why Join Us?
Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
+ Generous holiday allowance with the option to buy additional days.
+ Health screening, eye care vouchers and private medical benefits
+ Wellbeing programs
+ Life assurance
+ Access to a competitive contributory pension scheme
+ Save As You Earn share option scheme.
+ Travel Season ticket loan.
+ Electric Vehicle Scheme
+ Optional Dental Insurance
+ Maternity, paternity, and shared parental leave
+ Employee Assistance Programme
+ Access to emergency care for both the elderly and children
+ RECARES days, giving you time to support the charities and causes that matter to you.
+ Access to employee resource groups with dedicated time to volunteer.
+ Access to extensive learning and development resources
+ Access to the employee discounts scheme via Perks at Work
About our business-
At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results .
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Our talented Data Engineering team is made up of globally recognised experts - and there's room for more analytical, innovative, client-driven data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
Come join us
As a member of the Data Engineering team, you'll have access to the research, knowledge, and tools to create leading-edge solutions across Avanade's Data & AI practice. The role of Data Engineer is perfect for ambitious technologists passionate about working with the latest Microsoft Fabric and / or Azure Databricks technologies to deliver modern, highly scalable data platforms for all our client's analytics and AI needs. Our clients look to us for innovation, which means you'll have early access to the latest technologies so you can master them and stay ahead of the curve.
Together we do what matters.
What you'll do
* Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies
* Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development
* Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications
* Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors
Skills and experiences
* Demonstrable end-to-end experience in Data Engineering, including large-scale projects
* Experience in working with the latest Azure technologies, such as; Databricks, Microsoft Fabric, Data Factory, Azure Data Lake Storage (Gen 2), Purview, Cosmos DB, Open AI, Azure ML, AI Foundary, Kubernetes,
* Understanding of software engineering tools and concepts including experience in Python, Scala or PySpark, database technologies, data modelling and SQL
* Confident communicator who is able to explain technical terms to non-technical audiences and mentor junior colleagues
* Leads small development teams: track work, manage assignments, manage capacity, etc.
About you
Characteristics that can spell success for this role
* Analytical, curious, agile
* Team player and good communicator
* Problem-solver, patient, quality-driven
* Self-motivating
* Innovative mindset
Enjoy your career
Some of the best things about working at Avanade
* Opportunity to work for Microsoft's Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
* Real-time access to technical and skilled resources globally
* Collaborate with some of the brightest "Microsoft minds"
* Build your expertise, solve problems, learn, and develop
Find out more about some of our benefits here.
A great place to work
As you bring your skills and abilities to Avanade, you'll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You'll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It's all here, so take a closer look!
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion & Diversity page.
Create a future for our people that focuses on
- Expanding your thinking - Experimenting courageously - Learning and pivoting
Inspire greatness in our people by
- Empowering every voice - Encouraging boldness - Celebrating progress
Accelerate the impact of our people by
- Amazing the client - Prioritizing what matters - Acting as one
Learn more
To learn more about the types of projects our Data Engineering team works on check out these case studies:
* thyssenkrupp Materials Services uses data to help strike a delicate operational balance
* What matters to SSE Renewables is innovating for a sustainable future
Interested in knowing what's going on inside Avanade? Check out our blogs:
* Avanade Insights - exchange ideas that drive tomorrow's innovation
* Inside Avanade - explore what life is like working at Avanade
We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Avanade believes that all persons are entitled to equal employment opportunities, and we do not discriminate against our employees, applicants, or job seekers because of their race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protect group status as defined by law.

Data Engineering Lead
Do you enjoy Team Management?
Are you a team player?
About Us
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society . Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice . At Elsevier, your work contributes to the world's grand challenges and a more sustainable future . We harness innovative technologies to support science and healthcare to partner for a better world.  
The Team
The Enterprise Data Platforms and Services (EDPS) team are a central technology group responsible for building, administering, govern ing , and setting global standards for a growing number of Elsevier strategic data platforms and services . The capabilities we are responsible for enable data to be collected, accessed, processed and integrated across a wide range of digital business solutions , used by functions including billing and order management, customer and product master data management , and business analytics and insights delivery . Due to our footprint across the enterprise , we are relied upon to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes .
This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that enables a connected collection of enterprise-ready time saving services , applying a self-service first approach . Our mission is to enable frictionless experiences for all Elsevier c olleagues, so that they can openly and securely consume and produce trustworthy data, enhancing everyday colleague and customer interactions and decisions.
The Role
As the Software Engineering Lead , you will be responsible for nurturing a high performing cross- functional squad of software and data engineers . This squad is responsible for a growing number of strategic capabilities and components that serve a large number of engineering , d ata science, and analytics use cases and stakeholders . You will be expected to be the technical subject matter expert overseeing the squad building an Enterprise Data Platform that support s both operational and analytical use cases.
In practice, this will mean combining your technical expertise with strong stakeholder engagement to build a deep understanding of business needs when design ing a technical solution that is fit-for-purpose . To be successful, you need to understand user requirements and map diverse user interactions with the various platform components to inform your implementation decisions . Y ou will be expected to collaborate closely with other technology teams to ensure that we are driving a culture of contributing towards shared services .
Your success will be primarily measured by demonstrable increases in the number of teams adopting and contributing to the platform capabilities and shared repositories we provision, and clear improvements in technical efficiency /value gains .
Key Responsibilities and Accountabilities:
+ Accountable for team performance - manage a high performing agile delivery squad , ensuring you nurture team skills, trust , and relationships through coaching and mentoring .
+ Accountable for releases - set technical development and coding standards that make up a robust and mature SDLC, and review team release s to guarantee these are met.
+ Accountable for shared services - build common frameworks and patterns that can be easily reused, contributed to, and reliably deployed by other teams via self-service.
+ Accountable for best practices - establish component specific guidelines in collaboration with your team, wider engineering team s , architecture , end-users, data product owners, and enablement teams, to promote these through regular knowledge sharing sessions.
+ Accountable for operational efficiency - drive improvements in efficien cy , reliab ility , and scala bility supported by logging , monitoring and observability as a foundational capability.
+ Responsible for adoption - promote the platform capabilities through technical communities of practice leadership, high internal standards for documented processes and internal guides, an d take steps to capture and action user feedback.
+ Responsible for platform evolution - collaborate with key stakeholder groups to analyse and identify capability gaps, and drive discussions required to make a case for change .
+ Responsible for technical governance - establish and manage the technical design authority process for each capability to successfully govern self-service use of the platform .
Essential Skills & Experience :
+ Team leadership - driven line manager and technical lead, deeply interested in coaching and mentoring, to motivat e cross functional squads to deliver complex technical initiatives.
+ Software development lifecycle (SDLC) - applied understanding of SDLC best practices, having delivered improvements in previous teams' SDLC and DataOps /DevOps maturity.
+ Agile delivery - facilitat ing ceremonies , removing impediments, coordinat ing requirements refinement to ensure tasks are achievable , and driv ing a culture of iterative improvemen t.
+ Modern data stack - hands-on deploy ment and govern ance of enterprise technologies at scale (e.g. Snowflake, Tableau, DBT, Fivetran , Airflow, AWS , GitHub, Terraform, etc ) for self-service workloads .
+ Coding languages - deployable and reusable Python , Java S cript , and Jinja templating languages for ETL / ELT data applications , data pipelines , and stored procedures.
+ Thought leadership and influencing - deep interest in data platforms landscape to build well-articulated proposals that are supported by strong research, value delivery , and previous success in driving but also adopting change.
+ Solution design and architecture - apt at creating comprehensive technical design documents, including architecture and infrastructure artifacts, to support scalable, secure, and efficient data platforms , ensuring reliable data flow s from ingestion to consumption .
+ AWS cloud ecosystem - deep knowledge of AWS data and analytics services and the infrastructure required for production grade data solutions and applications .
+ Prioritisation - a daptable to changing needs within the organi s ation with a professional, flexible and pragmatic response to rapidly evolving priorities, while mitigat ing impacts.
+ Data and technology governance - knowledgeable in applying data management, data privacy and data security practices at scale to ensure platform use is compliant .
Work in a way that works for you  
We promote a healthy work/life balance across the organisation. With an average length of service of 9 years, we are confident that we offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and long-term goals.  
+ Working remotely from home or in our office in a flexible hybrid style 
+ Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive 
Working with us  
We are an equal opportunity employer with a commitment to help you succeed. Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play. Regardless of the team you join, we promote a diverse environment with co-workers who are passionate about what they do, and how they do it.  
Working for you  
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:  
+ Generous holiday allowance with the option to buy additional days 
+ Access to learning platforms and encouragement to book up to 10 days focused learning/development time per year  
+ Health screening, eye care vouchers and private medical benefits 
+ Wellbeing programs 
+ Life assurance 
+ Access to a competitive contributory pension scheme 
+ Long service awards 
+ Save As You Earn share option scheme 
+ Travel Season ticket loan 
+ Maternity, paternity and shared parental leave 
+ Access to emergency care for both the elderly and children 
+ RELX Cares days, giving you time to support the charities and causes that matter to you 
+ Access to employee resource groups with dedicated time to volunteer 
+ Access to extensive learning and development resources 
+ Access to employee discounts via Perks at Work 
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact .
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .
RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.
Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.
Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

Data Engineering Lead (Psychedelic Therapy)

Location: Remote (Must attend two mandatory in-person events per year)

Employment Type: Full-time

Work Arrangement: Remote

About the Role

Our client, a leader in guided at-home ketamine therapy (a form of psychedelic medicine) with $50 million in funding , is seeking a Data Engineering Lead . This individual will be responsible for building the data engine that powers personalized care, scaled therapy, and measurable patient outcomes.

This role requires strong technical ownership over the data pipeline, and a deep, personal belief in psychedelic medicines and altered states of consciousness. You will drive key business decisions through deep-dive analysis and deploy AI tools to enhance their "Functional Psychiatry" approach.

What You'll Do

• Own and evolve the data pipeline (Segment, Stitch, Snowflake, dbt) to ensure the accuracy, reliability, and trust of all metrics and dashboards across the 230-person organization.
• Modernize the data stack and event pipeline to reduce analyst turnaround times and increase data horsepower.
• Implement dbtCloud , backed with an MCP server, to enable the business team to combine AI with Mindbloom-specific data for enhanced insights.
• Conduct deep-dive analyses to drive key business decisions and answer high-impact questions from every department, including the CEO.
• Build and deploy scalable, self-serve tools that empower teams to access insights independently.
• Work closely with the Head of Engineering and Head of Health to define and launch the next major evolution of Functional Psychiatry.

Requirements

• 5+ years of experience in data engineering or analytics engineering (sweet spot is 6-8 years).
• Strong emphasis and hands-on expertise with dbt (Data Build Tool).
• Experience within a startup environment (Series C or earlier) and direct-to-consumer (D2C) experience is highly valued.
• Must possess a deep personal connection to altered states of consciousness and a belief in psychedelic medicines.
• Comfortable owning and evolving pipelines and deploying AI tools.

Benefits

• Salary: $25K - 170K (The estimated annual base salary range for this role is 125,000−$1 0,000 USD.)
• Equity: Heavily valued in the compensation package due to the company's funding and size.
• Visa Sponsorship: Not available .
• Work Policy: Fully remote, with two mandatory in-person events per year (annual company retreat and a team in-person meeting).

Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

Commitment to Equality and Accessibility:

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing 

MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting

Senior Data Management Professional - Data Engineering
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 - all while providing customer support to our clients.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**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.
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
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

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.

Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
As Chief Engineer, you will be responsible for ensuring that all electrical, mechanical, and fire/life safety equipment within the data center is operating at peak efficiency. This involves planned preventative maintenance of equipment, daily corrective work, and emergency response. You are expected to be a singular focal point for all facility operations and to support Amazon within its owned and operated data centers.
You should be able to manage large scale impacting projects and new region support from conception to completion. These projects involve large amounts of independent work as well as collaboration with external support groups including engineering, automation, procurement, and finance in both local and global settings. As Chief Engineer, you will be tasked with creating and delivering on key milestones, obtaining and tracking quotes for all necessary costs, and documenting project results for future implementation at other facilities. The goals of such projects are for the Chief Engineers to drive innovation and resiliency while reducing operational costs in the facilities.
Key job responsibilities
- Train and support the Engineering team in their role of providing electrical and mechanical equipment troubleshooting and operations
- Implement and execute site or equipment-specific training exercises. Exercises cover, but are not limited to: stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers etc.
- Oversee day-to-day operation and maintenance of mechanical and electrical equipment in data center sites
- Operate independently, with limited direct management
- Assist in the design and build-out of new facilities and perform root cause analysis of equipment failures
- Act as an escalation point for all facilities-related issues within the data center region. Work OT hours as needed to support site stability
- Troubleshoot and report facility and data sever-level events within internal Service Level Agreements (SLA)
- Create and deploy standard practices for Engineering Operations Technicians, Chief Engineers, and vendor support teams
- Ensure all safety procedures are adhered to by vendors, and AWS staff
- Respond to off hour emergency calls related to his data centers and help with the investigation, mitigation, and recovery of the issue(s).
- Candidates should be able to lift up to 40 lbs and or work in elevated locations.
- Ability to work in an environment that operates 24/7 with an ability to provide after-hours support as needed. All physical requirements are expected with reasonable accommodations
PHYSICAL REQUIREMENTS
- Work at height, and from ladders
- Perform physical tasks during the shift
- Work in a noisy environment, with ear protection
About the team
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. (AIS tagline)
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Basic Qualifications
- NVQ Level 3 in Electrical/Mechanical Engineering (or equivalent)
- Extensive industry related experience with In-depth knowledge of UPS, backup generator systems and generic mechanical-room infrastructure
- BS th Edition
Preferred Qualifications
- Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience in data center engineering
- Previous experience in operations and on-call support for Data Center facilities or Mission Critical Plants/Production facilities
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.