61 Data Warehousing jobs in the United Kingdom
Senior Data Engineer - Financial Data Platform
Job Viewed
Job Description
At Spotify, Financial Engineering is building the platform that powers Finance and enables strategic decision-making across the company. Our mission is to create trusted financial abstractions that make complexity manageable and insight actionable — supporting everything from premium and ads growth to forecasting, experimentation, and global reporting.
As engineers in the Financial Data Platform team, we turn messy, fragmented realities into clean, reusable foundations. We build core datasets that represent key financial domains like Premium, Ads, and Royalties. We create libraries and tools that empower others to produce and trust financial data at scale. We collaborate deeply with Finance, Product, and Data teams to unlock clarity and drive Spotify’s ambitions forward.
We are looking for engineers who are excited to shape the future of financial data at Spotify. You will design and operate scalable pipelines that process billions of records. You will apply product thinking to financial data — managing the full lifecycle from sourcing to documentation to exposure. You will define abstractions that simplify complexity and create intuitive paths for our consumers. Together, we advocate for standards, champion quality, and build systems that others can rely on with confidence.
If you thrive on building foundations that have broad, lasting impact, and want to work where financial data truly drives strategy, we’d love to work with you.
What You'll Do- Acquire a comprehensive understanding of how financial data supports diverse consumer needs, from Finance to broader business customers.
- Build core datasets and financial abstractions that serve as sources of truth for strategic and operational decision-making.
- Design, prototype, and build scalable data pipelines that process billions of data points reliably.
- Apply product thinking to data: manage the full data product lifecycle from sourcing to documentation and exposition, always prioritizing consumer needs and success.
- Advocate for and implement effective data quality, engineering standards, and reusability.
- Collaborate closely with engineers, data scientists, finance collaborators, and business teams to build flexible, intuitive data products.
- Define data models and abstractions that simplify access to complex financial domains like Premium, Ads, and Royalties.
- Contribute to building tools and libraries that enable other teams to build financial data products at scale.
- Leverage mentorship and constructive feedback to foster accountability, growth, and collaboration within the team.
- Experienced with Data Processing Frameworks: Skilled with higher-level JVM-based frameworks such as Flink, Beam, Dataflow, or Spark.
- Comfortable with Ambiguity: Able to work through loosely defined problems and thrive in autonomous team environments.
- Skilled in Cloud-based Environments: Proficient with large-scale data processing in cloud environments, preferably with experience in Google Cloud Platform.
- Strong Analytical Skills: Adept at breaking down complex problems and communicating insights effectively.
- Knowledgeable About Data Modeling: You treat data as a product, with strong data modeling capabilities.
- Passionate About Clean Code: Committed to writing high-quality, maintainable code and building robust data pipelines.
- Curious and Inquisitive: You have a deep curiosity about data and systems, always seeking to understand and improve them.
- Skilled in large-scale data processing: Comfortable working with SQL and platforms like BigQuery.
- Excellent Collaborator: You value positive relationships across technical and business domains.
- This role is based in London, United Kingdom
- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
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Data Management Specialist
Posted today
Job Viewed
Job Description
About the Role
Are you ready to shape the future of data in financial services? We’re looking for a passionate Data Management Specialist to help drive our enterprise-wide data transformation.
In this exciting role, you’ll be at the heart of delivering our Data Strategy, leading on the rollout of Purview, enhancing our Data Management capabilities, supporting the rollout of Microsoft Fabric. You’ll work within a fast-paced, collaborative environment to embed best-in-class data practices and governance across the business.
This is a hybrid role with some presence required at our Bournemouth office. This role is a Fixed Term Contract for an initial 6 months.
About You
Essential:
•Proven experience in data management/governance preferably within Financial Services.
•Hands-on implementation experience with tools like Purview, Collibra, Informatica, or Alation.
•Solid SQL skills and familiarity with Azure, Fabric, or other cloud platforms.
•Knowledge of data privacy regulations (UK GDPR, Data Protection Act 2018) and ETL processes.
Preferred:
•Purview implementation experience.
•Certifications such as DAMA/CDMP.
•Experience in data remediation, migration, and quality improvement projects.
•Ability to work cross-functionally with IT, compliance, and business teams.
The Details
•Spearheading the development of our Data Management roadmap, introducing key capabilities like Metadata Management, Master Data Management, Data Lineage, Business Glossaries, and Data Dictionaries.
•Strengthening our Data Ownership and Stewardship communities and championing our Data Literacy programme.
•Collaborating with the IT communities, Data Office and Data Privacy function to ensure data quality, consistency, and compliance across all business lines.
•Leading the implementation of Purview and supporting the migration to Microsoft Fabric, ensuring sensitive data is protected and risks are mitigated.
•Partner with the Head of Data, Data Governance Lead and Data Quality Lead to build a high-impact Data Governance team.
•Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239).
•Act as a technical advisor and coach for our Accountable Executives, Data Owners and Stewards, delivering training and guidance.
•Drive MDM initiatives and collaborate with SCV Engineers to deliver a unified customer view.
•Conduct audits, support data migration, and ensure robust data classification and retention practices.
Rewards & Benefits
This role is a Band C in the LV= Structure.
At LV= Life and Pensions, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:
• 30 days' holiday, with the option to buy up to 2 additional days
• Competitive pension scheme - LV= Life and Pensions will double-match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
• n annual bonus scheme based on company and personal performance
• S ngle-cover private medical insurance (with the option for you to upgrade to family cover)
• lexible benefits, including a cycle to work scheme, personal accident insurance, critical illness cover and dental insurance
• p to 20% discount on our life products for you and your immediate family
• group life assurance policy with 4 x your basic pay to go to your dependents (you’ll have the option to increase to 8 x cover)
• Gr up Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
• ccess to our Employee Assistance Programme (EAP) for support when you need it
• virtual GP service
• hared parental leave.
Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship in order for your application to be considered.
Please note that any successful internal colleagues will be offered a secondment opportunit y.
Data Management Intern
Posted 5 days ago
Job Viewed
Job Description
**What are your contributions to the team?**
- Collect, clean, and validate maintenance scheduling data from various sources.
- Maintain and update aircraft maintenance schedules in internal systems.
- Track aircraft maintenance milestones and flag potential scheduling conflicts or delays.
- Support the integration of data from maintenance management systems into scheduling tools.
- Maintain accurate records of aircraft downtime, hangar occupancy, and technician availability.
- Participate in daily scheduling meetings and document action items related to data updates.
- Assist in creating dashboards and reports to monitor progress, resource utilization, and turnaround times.
- Contribute to the development and testing of automated tools or scripts to streamline data entry and reporting.
- Prepare compliance reports and audit documentation related to maintenance scheduling.
- Monitor and report on key performance indicators (KPIs) such as turnaround time, schedule adherence, and resource utilization.
- Collaborate with IT or data teams to troubleshoot data access or integrity issues.
- Archive and retrieve historical maintenance and scheduling data for analysis and forecasting.
- Ensure data privacy and security protocols are followed in line with company and regulatory standards.
- Help document data management processes and suggest improvements for efficiency and accuracy
**How to thrive in this role?**
- Able to work on site from Monday - Friday (40 hours per week)
- Strong proficiency in Excel; familiarity with Power BI is a plus.
- Excellent attention to detail and organizational skills.
- Strong analytical and problem-solving abilities.
- Good communication skills and ability to work in a team-oriented environment.
- Interest in aviation or aircraft maintenance is desirable but not essential.
Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
Whether your candidacy is moving on to the next step of the hiring process or not, we will keep you informed by email or by phone.
Join us at ideas move people.
**Job** Data Management Intern
**Primary Location** Biggin Hill Service Center
**Organization** Bombardier Services (UK)
**Employee Status**
**Requisition** 8624 Data Management Intern
Director, Data Management
Posted 9 days ago
Job Viewed
Job Description
Establish and lead a Data Management Support Office framework to drive quality, consistency and efficiencies across a DM FSP model at IQVIA. Where applicable, performs and oversees data management activities in order to provide high quality data that meets client/project needs. Ensures that data is processed and tracked in alignment with regulatory and quality standards.
**RESPONSIBILITIES**
+ Liaise with customer counterpart and internal LT to understand Data Management Support Office business requirements. Develop and execute plan to meet these requirements.
+ Provides direction and support to Data Management Support Office leads in each of the following areas:
+ Onboarding and Training - partnering with customer Learning team to manage and deliver customer onboarding materials, DM role-based curricula/compliance, Train the Trainer etc.
+ Lead Support Office - establish structures to embed customer process/system/standards knowledge and support the institution of new customer lead roles at IQVIA.
+ Continuous Process Improvement - assess impact of customer process changes/establish structure for managing new ideas/process issues with customer.
+ Demand and capacity management.
+ Quality - managing QI investigations and CAPAs; eTMF Compliance.
+ KPI Reporting and Management
+ Provide strategic direction in the Data Management area.
+ Consolidate resource requirements and define staffing needs that ensure project objectives can be met while maximizing utilization, realization and minimizing costs.
+ Monitor and manage utilization and productivity. Ensure performance of staff is regularly assessed and documented. Define staffing needs based on hard backlog and strategic plan for office.
+ Define and implement department objectives consistent with broader office and regional objectives. Provide technical advice and solutions to solve problems and improve efficiency across functions, projects and customers.
+ Monitor quality and efficiency across projects to identify trends and opportunities for improvements. Ensure sharing of learning across projects and departments.
+ Participate in defining strategies for new processes and technology at either regional or global level. Ensure that staff is trained and compliant with current operating procedures and work instructions and project scope of work.
+ Work with peers within office and regions to define and implement training strategies. Mentor staff members to develop Data Management, drug development and business expertise.
+ Manage relationship with customer functional peers. Provide operational input into proposals for large programs and strategic partnerships. Provide input to costing algorithms and standard proposal text.
+ Attend customer meetings and lead discussions of project requirements and strategic planning. Recommend placement of projects based on staffing levels and hard backlog, technology requirements and customer relationships. Ensure compliance of work with project's scope of work.
+ Actively assess and manage project realization. Ensure project milestones are met according to agree upon timelines with high quality. May serve as a Data Management Customer Liaison for one or more customers. Manage staff in accordance with organization's policies and applicable regulations.
+ Responsibilities include planning, assigning, and directing work, appraising performance, and guiding professional development rewarding and disciplining employees, addressing employee relations issues and resolving problems. Approve actions on human resources matters.
+ May manage a Data Management Department, which could be either all data management staff at an office or a subset of staff (80-120) within a large Data Management office.
**REQUIRED KNOWLEDGE, SKILLS AND ABILITIES**
+ Advanced knowledge of Data Management processes and systems, including new technologies
+ Solid understanding of clinical drug development process and production of DM deliverables
+ Strategic leadership ability
+ Knowledge of business processes
+ Strong business acumen; financial management and budgeting skills.
+ Proven ability to work on multiple projects and manage competing priorities
+ Proven staff management skills, strong leadership, motivational and influencing skills.
+ Outstanding written and oral communication skills
+ Proven leadership skills
+ Outstanding problem-solving skills
+ Excellent interpersonal skills
+ Excellent organizational skills and demonstrated ability to delegate appropriately and monitor quality of outputs
+ Outstanding negotiation, decision-making and problem-solving skills.
+ Ability to establish and maintain effective working relationships with co-workers, managers and clients.
**MINIMUM REQUIRED EDUCATION AND EXPERIENCE**
- Bachelor's degree, or educational equivalence, in clinical, biological or mathematical sciences or related field, or nursing
qualification with 12 years of relevant work experience including substantial people management experience; or
equivalent combination of education, training and experience
**PHYSICIAL REQUIREMENTS**
- Extensive use of telephone and face-to-face communication requiring accurate perception of speech
- Extensive use of keyboard requiring repetitive motion of fingers
- Regular sitting for extended periods of time
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
Data Management Analyst
Posted 7 days ago
Job Viewed
Job Description
Data Management Analyst | Permanent | £60,000 - £70,000 + Bonus + Pension | London (Hybrid 2-3 days in office)
A very exciting Data Management Analyst position to help support the data management office and implement the Data Quality and Governance Framework. You'll love the challenge of improving data quality and get excited by the opportunity good data brings to the company!
You'll be tasked with improving data quality whilst driving the associated cultural change, defining what good looks like, DQ Dimensions and appropriate measurement in terms of dashboards / scorecards as well as working with Data Stewards implementing standards and controls for data.
You will help build and implement Data Quality procedures and processes alongside doing route cause analysis work using SQL build scorecards and leveraging data profiling tools.
The experience you'll need
- As a Hands-on fixer of data! You'll have to be competent in using SQL for fetching and manipulating data
- Experience with metadata and Data Quality tools
- Experience helping develop and implement a Data Management framework, along with embedding policies and processes around this
- Ensure business rules and validation are fit for purpose and built into systems
- Experience working with a large and complex business - Financial services experience would be a plus
This is a great chance to challenge your Data Management skills, in this organisation. A great opportunity to build on the solid foundations already in place but get your name to something and really help this company on their data journey.
Hit apply, you don’t even need your most recent CV right now; we’ll be in touch to go through your experience and discuss the opportunity & client in more detail with you.
As an employer and service provider, we are committed to Equity, Equality, Diversity and Inclusion. Please feel comfortable to let us know if you have a difference or disability that would require us or our clients to make any helpful adjustments for you.
Data Management Analyst
Posted 7 days ago
Job Viewed
Job Description
Data Management Analyst | Permanent | £60,000 - £70,000 + Bonus + Pension | London (Hybrid 2-3 days in office)
A very exciting Data Management Analyst position to help support the data management office and implement the Data Quality and Governance Framework. You'll love the challenge of improving data quality and get excited by the opportunity good data brings to the company!
You'll be tasked with improving data quality whilst driving the associated cultural change, defining what good looks like, DQ Dimensions and appropriate measurement in terms of dashboards / scorecards as well as working with Data Stewards implementing standards and controls for data.
You will help build and implement Data Quality procedures and processes alongside doing route cause analysis work using SQL build scorecards and leveraging data profiling tools.
The experience you'll need
- As a Hands-on fixer of data! You'll have to be competent in using SQL for fetching and manipulating data
- Experience with metadata and Data Quality tools
- Experience helping develop and implement a Data Management framework, along with embedding policies and processes around this
- Ensure business rules and validation are fit for purpose and built into systems
- Experience working with a large and complex business - Financial services experience would be a plus
This is a great chance to challenge your Data Management skills, in this organisation. A great opportunity to build on the solid foundations already in place but get your name to something and really help this company on their data journey.
Hit apply, you don’t even need your most recent CV right now; we’ll be in touch to go through your experience and discuss the opportunity & client in more detail with you.
As an employer and service provider, we are committed to Equity, Equality, Diversity and Inclusion. Please feel comfortable to let us know if you have a difference or disability that would require us or our clients to make any helpful adjustments for you.
Data Management Lead
Posted 4 days ago
Job Viewed
Job Description
Data Management Lead
London
Summary
The Data Management Lead (DML) in pharmaceuticals Sciences is responsible for overseeing all data management activities throughout the lifecycle of clinical trials, ensuring the delivery of high-quality, reliable, and compliant clinical data. This role involves leading data strategy development, managing timelines and deliverables. The DML ensures data collection t.
WHJS1_UKTJ
Senior Data Management Professional - Data Science - Data Management Lab
Posted 10 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**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! Weu2019re 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 Datau2019s 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 u201cready-to-useu201d 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, weu2019ll 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
**Youu2019ll 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
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Senior Data Management Professional - Data Science - Data Management Lab
Posted 10 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**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! Weu2019re 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 Datau2019s 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 u201cready-to-useu201d 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, weu2019ll 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
**Youu2019ll 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
Senior Data Management Professional - Data Science - Data Management Lab
Posted 9 days ago
Job Viewed
Job Description
Location
London
Business Area
Data
Ref #
10043689
**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
Product Data Management Specialist
Posted today
Job Viewed
Job Description
Are you experienced with creating and maintaining Bill of Materials (BOMs)? Are you experienced with ERP/MRP systems? If so, this Product Data Management (PDM) Specialist role is perfect for you!
This PDM Specialist role is working for a manufacturing company in the Portsmouth area . The working hours for the role are 8am – 4:30pm Monday to Thursday, and 8am – 3:30pm on a Friday . The role is paying £30,000 - £38,000 depending on experience .
The PDM Specialist is responsible for creating, managing and maintaining Bills of Materials (BoMs) and product structures within the ERP system. The role ensures accurate and consistent product data to support engineering, manufacturing, procurement and quality teams. Key duties include supporting change control processes, maintaining data and assisting New Product Introductions (NPIs). The role will also lead improvements in data workflows and ERP usage, collaborating closely with various departments.
You will need:
- Experience with creating and maintaining BOMs
- Experience with ERP systems
- Strong Excel and IT skills are required
- Great communication skills are essential
- Excellent attention to detail
If you are interested in this role and think you have the skills and experience this company are looking for then APPLY NOW. Alternatively, please call Tom Jones at Kingdom People on (phone number removed) .
Kingdom People is acting within the capacity of a Recruitment Agency for their client