100 Data Managers jobs in the United Kingdom
Engineering Electrical Biased Shift Managers - Data Centres
Posted 2 days ago
Job Viewed
Job Description
Critical Engineering Electrical Biased Shift Manager – Data Centre Solutions
Location: Slough
- Continental 24/7 – 365 Shift
- Overtime paid at a Premium rate
- Days and night Shift
- Further Training
- Must come from a Critical Engineering Environment
- £65,000 Plus Shift Allowance
- Approx. £5K Shift Allowance
- Electrical Charging Points and Parking onsite
- Brand new Funky break out room
- Workshop – for the engineers amongst us
- Collaborative Client and Service Provider relationship
Be part of the future of Data Centres. Build a career that powers the AI revolution.
We are seeking several ambitious and driven Data Centre Engineering Shift Managers to join our growing Data Centre Operations team on a newly built state of the art facility. This is your opportunity to play a vital role in managing the next generation of AI-ready, mission-critical Electrical and Mechanical system within these data centres — where precision, reliability, and innovation come together to power the digital world.
If you’re an experienced leader with a background in data centre or mission-critical environments , passionate about M& E technical excellence and operational reliability, this is your chance to shape the future and build a career with real impact.
The Position
As an Data Centre Engineering Shift Manager , you’ll be the technical and operational leader on site, driving performance, reliability, and safety across your shift. You’ll oversee all maintenance activities, ensure critical systems uptime, and lead a high-performing team of engineers to deliver exceptional standards in a 24/7 live environment.
This role is all about leadership, accountability, and innovation — keeping critical infrastructure running while mentoring the next generation of data centre engineers.
Roles & Responsibilities
- Lead and inspire a team of shift engineers, ensuring all work is completed safely, efficiently, and to the highest standards.
- Oversee all planned and reactive maintenance activities across electrical, mechanical, and control systems.
- Act as an Authorised Person (HV) , maintaining a safe system of work and ensuring all compliance documentation is in place.
- Respond rapidly and effectively to real-time incidents and alarms , ensuring minimal downtime and clear communication.
- Manage Permit to Work systems , review RAMS, and uphold the highest safety and operational standards.
- Drive continuous improvement across the site — optimising performance, energy efficiency, and reliability.
- Mentor and develop your team, delivering technical training, toolbox talks, and professional growth opportunities.
- Represent the operations team with professionalism and technical authority in all client and vendor interactions.
Skills & Experience
- Proven experience as an Engineering Shift Manager or Supervisor within Data centre or mission-critical operations .
- Strong technical background with High Voltage Authorisation .
- NVQ Level 3 (or equivalent) in electrical or mechanical engineering.
- 18th Edition Wiring Regulations and Emergency First Aid at Work certification.
- Demonstrable experience managing real-time incidents and coordinating engineering teams under pressure.
- A proactive approach to safety, quality, and continuous improvement.
- Excellent communication, leadership, and problem-solving skills.
What’s on Offer
- The opportunity to work in state-of-the-art, AI-ready data centres supporting global digital infrastructure.
- A secure, long-term career path with ongoing training and professional development.
- Exposure to the latest technology, automation, and operational systems in the industry.
- A strong team culture built on collaboration, integrity, and excellence.
- A chance to make a genuine impact — powering the systems that keep the modern world running.
Contact Us
If you’re ready to take the next step in your data centre career — to lead, innovate, and grow in a world-class technical environment — we want to hear from you.
Apply now and help build the future of reliable, intelligent data infrastructure.
Data Quality Manager - Nottingham
Posted today
Job Viewed
Job Description
Location - Head Office, Ruddington, Nottinghamshire
Level - Experienced Professional
Department - Product R&D
Working Pattern - Full-time, hybrid (Tuesday, Wednesday and Thursday in office)
Benefits - Benefits at Ideagen
Salary - this will be discussed at the next stage of the process, if you do have any questions please feel free to reach out
We are seeking a Data Quality Manager to lead the development and implementation of data quality frameworks across our core business systems—Salesforce, Zuora, and Netsuite. This role plays a key part in ensuring the accuracy, consistency, and reliability of data that supports our risk and compliance software solutions.
The successful candidate will work closely with cross-functional teams to define data standards, monitor data quality, and drive continuous improvement through governance and collaboration.
Responsibilities:- Develop and implement a data quality strategy across Salesforce (CRM), Zuora (subscription management), and Netsuite (ERP).
- Define and maintain data quality standards, rules, and processes to ensure consistency and compliance.
- Monitor data quality metrics and create dashboards to track accuracy, completeness, and timeliness.
- Conduct regular audits to identify and resolve data discrepancies.
- Collaborate with stakeholders across sales, finance, product, and IT to establish data ownership and accountability.
- Lead data governance initiatives, including stewardship programs and stakeholder training.
- Manage ongoing data cleansing, enrichment, and validation processes.
- Evaluate and implement tools to support data quality monitoring and management.
- Ensure compliance with internal controls, regulatory requirements, and data protection standards.
- Experience in data quality, data management, or data governance roles.
- Strong understanding of Salesforce, Zuora, and Netsuite data structures and integrations.
- Ability to define and monitor data quality metrics and KPIs.
- Strong analytical and problem-solving skills with attention to detail.
- Effective communication skills and experience working with stakeholders across multiple functions.
- Familiarity with data management and reporting tools (e.g., Informatica, Talend, Tableau, Power BI).
- Knowledge of data privacy regulations (e.g., GDPR, CCPA) and financial compliance standards.
About Ideagen
Ideagen is the invisible force behind many things we rely on every day - from keeping airplanes soaring in the sky, to ensuring the food on our tables is safe, to helping doctors and nurses care for the sick. So, when you think of Ideagen, think of it as the silent teammate that's always working behind the scenes to help those people who make our lives safer and better. Everyday millions of people are kept safe using Ideagen software. We have offices all over the world including America, Australia, Malaysia and India with people doing lots of different and exciting jobs.
We’re building a future-ready team, and AI is part of how we work smarter. If you're curious, adaptable and open to using AI to improve how you work, you’ll thrive at Ideagen!
What is next?
If your application meets the requirements for this role, our Talent Acquisition team will be in touch to guide you through the next steps.
To ensure a flexible and inclusive process, please let us know if you require any reasonable adjustments by contacting us at . All matters will be treated with strict confidence.
At Ideagen, we value the importance of work-life balance and welcome candidates seeking flexible arrangements. If this is something you are interested in, please let us know during the application process. Enhance your career and make the world a safer place!
#LI-NOTTINGHAM
#INDHP
Data Quality Analyst - Pathogen
Posted 6 days ago
Job Viewed
Job Description
Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity’s most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics.
Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford’s science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration.
The Pathogen Mission highlights EIT’s transformative approach, using Whole Genome Sequencing (WGS) and Oracle’s cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health.
EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity’s enduring challenges.
We are seeking to recruit a Data Quality Analyst to support our goal of building a world-leading, high-quality and curated data resource to support our science teams in delivering transformative pathogen metagenomics systems.
You will be responsible for identifying, investigating and resolving data quality issues including inaccuracies, inconsistencies and completeness issues to ensure that our data resource is accurate, reliable and trustworthy. You'll collaborate closely with the data acquisition team and our partnership managers to ensure that our partner network receives the feedback they need to learn from and continuously improve the quality of the data acquisition process.
Key Responsibilities
- Responsible for profiling and analysing the data held within the data platform to identify errors, inconsistencies, duplicates and missing values, ensuring completeness and accuracy of the data sets.
- Curation of data to ensure that data meets the quality requirements of the science teams for their project work.
- Collaborate with the data engineers and science teams to ensure that data quality rules are defined, implemented and monitored in order to deliver a continuous improvement process with data acquisition partners.
- Resolve issues with data quality by investigating root causes with science teams and partners to implement solutions to data quality issues.
- Create and support data quality dashboards to validate the data and share insights on data quality with the science teams.
- Ensure data which has failed as part of the ingest services due to quality issues is actioned in a timely way.
- Work with the Data Governance Manager to support the implementation of data governance policies and standards within the data platform, ensuring that data access is managed correctly and that the data being used by science teams meets the required quality criteria.
- Work with the genomic data scientists, architects and data engineers to understand the data use cases and processing and how the infrastructure can be improved.
- Ensure that data management processes are meeting regulatory requirements and policy.
Requirements
Essential Knowledge, Skills and Experience
- Strong understanding of genomic data and the biological significance of quality metrics.
- Experience with pathogen sample metadata including MIC values and Antimicrobial Susceptibility.
- Experience with data analysis methods and tools, including statistical analysis and SQL querying for structured data.
- Ability to build and support analytical dashboards.
Desirable Knowledge, Skills and Experience
- Experience with Oracle OCI.
- Experience with data quality tooling and profiling.
- Familiarity with data governance in a genomics data domain.
- Strong collaboration and communication skills in order to interact with both technical and science teams.
- Experience with healthcare clinical data and associated standards such as OMOP and SNOMED.
- Experience with designing and building analytical reports using tools such as Oracle Analytics, Tableau, Qlik, or Power BI.
Key Attributes:
- Collaboration
- Ability to work in a fast-paced environment
- Excellent problem-solving, analytical, and communication skills
Benefits
We offer the following benefits:
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electrical Vehicle Scheme
Why work for EIT:
At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!
Terms of Appointment:
- You must have the right to work permanently in the UK with a willingness to travel as necessary.
- You will live in, or within easy commuting distance of, Oxford.
- During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.
Aero Data Quality Engineer
Posted 9 days ago
Job Viewed
Job Description
The Cadillac Formula 1® Team is what happens when history, purpose and daring talent come together. Backed by TWG Global and GM, our team is uniquely positioned to disrupt Formula 1® , bringing a fresh perspective and an unrelenting drive for success. We have the energy of a start-up, with the ideas and originality of a business that always wants to lead, never wants to follow.
We’re building everything from the ground up, from a high-performance car to an inclusive, values-driven culture. We show bold ambition. We combine leadership in innovation with excellence in execution. We are one team. We have the freedom to think differently, the opportunity to shape process and practice, an ego-free environment where people thrive on being challenged by those around them. A historic name behind us. Career-defining moments ahead.
A New Chapter Begins.
Fueled by bold ambition
Play your part in getting us on the grid.
Closing Date: 24th October 2025
We have an opportunity for an Aero Data Quality Engineer to join the team at our Silverstone facility. In this role you will work within a group of engineers to provide input to the Aero Performance & Correlation Group, specifically in the field of correlation across our wind tunnel, CFD and track data whilst ensuring that the data acquired in each environment is accurate and reliable. At The Cadillac Formula 1® Team, we aspire to be the absolute best in every aspect of our team. Team members are encouraged to challenge established thinking and share their ideas to create an environment where everyone can contribute to our shared success.
- Ensure the accuracy and reliability of aero performance data collected from wind tunnel tests, CFD simulations and on-track telemetry
- Develop and implement data validation and quality control processes to maintain high standards of data integrity
- Collaborate with aerodynamicists, engineers and data scientists to identify and resolve data quality issues
- Conduct regular audits and reviews of data quality processes to ensure continuous improvement as part of the wider correlation project
- Work closely with other members of the Aero Performance group and other engineering groups
- Provide a flexible attendance and attitude to work, in line with the requirements for the role and specific project requirements
Requirements
Driven by high performance
What do you need to bring to the team?
- A degree in a relevant discipline (Aerodynamics/Aeronautics) or equivalent
- Relevant experience in a similar role, ideally within the motorsport industry
- A good understanding of aerodynamics is required, with a keen attention to detail and must possess strong analytical and problem-solving skills
- Good knowledge of data acquisition methods in an aerodynamic test environment
- Good coding skills in a mathematical language (e.g. Python)
- Demonstrate excellent interpersonal skills, communicating effectively with key stakeholders/directors
- Positively contribute to an open and inclusive culture
A team like no other.
The Cadillac Formula 1® Team challenges conventions and redefines success through bold ambition, cutting-edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.
As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.
At The Cadillac Formula 1 ® Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.
Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.
Aero Data Quality Engineer
Posted 27 days ago
Job Viewed
Job Description
The Cadillac Formula 1® Team is what happens when history, purpose and daring talent come together. Backed by TWG Global and GM, our team is uniquely positioned to disrupt Formula 1® , bringing a fresh perspective and an unrelenting drive for success. We have the energy of a start-up, with the ideas and originality of a business that always wants to lead, never wants to follow.
We’re building everything from the ground up, from a high-performance car to an inclusive, values-driven culture. We show bold ambition. We combine leadership in innovation with excellence in execution. We are one team. We have the freedom to think differently, the opportunity to shape process and practice, an ego-free environment where people thrive on being challenged by those around them. A historic name behind us. Career-defining moments ahead.
A New Chapter Begins.
Fueled by bold ambition
Play your part in getting us on the grid.
Closing Date: 10th October 2025
We have an opportunity for an Aero Data Quality Engineer to join the team at our Silverstone facility. In this role you will work within a group of engineers to provide input to the Aero Performance & Correlation Group, specifically in the field of correlation across our wind tunnel, CFD and track data whilst ensuring that the data acquired in each environment is accurate and reliable. At The Cadillac Formula 1® Team, we aspire to be the absolute best in every aspect of our team. Team members are encouraged to challenge established thinking and share their ideas to create an environment where everyone can contribute to our shared success.
- Ensure the accuracy and reliability of aero performance data collected from wind tunnel tests, CFD simulations and on-track telemetry
- Develop and implement data validation and quality control processes to maintain high standards of data integrity
- Collaborate with aerodynamicists, engineers and data scientists to identify and resolve data quality issues
- Conduct regular audits and reviews of data quality processes to ensure continuous improvement as part of the wider correlation project
- Work closely with other members of the Aero Performance group and other engineering groups
- Provide a flexible attendance and attitude to work, in line with the requirements for the role and specific project requirements
Requirements
Driven by high performance
What do you need to bring to the team?
- A degree in a relevant discipline (Aerodynamics/Aeronautics) or equivalent
- Relevant experience in a similar role, ideally within the motorsport industry
- A good understanding of aerodynamics is required, with a keen attention to detail and must possess strong analytical and problem-solving skills
- Good knowledge of data acquisition methods in an aerodynamic test environment
- Good coding skills in a mathematical language (e.g. Python)
- Demonstrate excellent interpersonal skills, communicating effectively with key stakeholders/directors
- Positively contribute to an open and inclusive culture
A team like no other.
The Cadillac Formula 1® Team challenges conventions and redefines success through bold ambition, cutting-edge innovation, and an unwavering commitment to precision and excellence—on and off the track. This includes offering industry-leading pension, generous time off and, as part of a global brand, huge potential for career development.
As an equal opportunities employer, we are committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy or maternity, race or ethnicity, religion or belief, gender identity or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply.
At The Cadillac Formula 1 ® Team, all Team Members are expected to actively support and uphold our policies and procedures, including those focused on Environmental responsibility, Sustainability initiatives, Inclusion and Health and Safety practices.
Please note that additional security checks may be required as part of the recruitment process. This may include a background check covering a minimum of the past five years and a criminal record check.
Data Quality Auditor, AGI Data Services - GT Quality
Posted 6 days ago
Job Viewed
Job Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! The Amazon Artificial General Intelligence (AGI) team is seeking a detail-oriented Quality Auditor to join our team at AGI. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.
Key job responsibilities
-Conduct quality audits on individual workflows and units delivered by Data Associates
-Coach and calibrate Data Associates co-located at your site to improve performance
-Provide detailed insights on Data Associate-level quality and identify root causes of issues
-Perform manual reviews to validate automated quality measurement systems
Document and report quality findings accurately and efficiently
-Perform audits to support deep dives and escalations as needed
-Maintain strict compliance with quality standards and procedures
-Work closely with Quality Audit Managers to improve processes and implement best practices
-Contribute to continuous improvement initiatives within the quality assurance team
About the team
Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. AGI provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.
Basic Qualifications
- Strong analytical and problem-solving skills
- Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
Preferred Qualifications
- Bachelor's degree
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Experience managing stakeholder relationships across departments
- Written and verbal communication skills for the purpose of effective feedback communication
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
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.
Data Quality Auditor, AGI Data Services - GT Quality
Posted 6 days ago
Job Viewed
Job Description
AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! The Amazon Artificial General Intelligence (AGI) team is seeking a detail-oriented Quality Auditor to join our team at AGI. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.
Key job responsibilities
-Conduct quality audits on individual workflows and units delivered by Data Associates
-Coach and calibrate Data Associates co-located at your site to improve performance
-Provide detailed insights on Data Associate-level quality and identify root causes of issues
-Perform manual reviews to validate automated quality measurement systems
Document and report quality findings accurately and efficiently
-Perform audits to support deep dives and escalations as needed
-Maintain strict compliance with quality standards and procedures
-Work closely with Quality Audit Managers to improve processes and implement best practices
-Contribute to continuous improvement initiatives within the quality assurance team
About the team
Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. AGI provides speech recognition capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data labeling services to our customers, that enables them to build advanced ML models.
Basic Qualifications
- Strong analytical and problem-solving skills
- Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
Preferred Qualifications
- Bachelor's degree
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy
- Experience managing stakeholder relationships across departments
- Written and verbal communication skills for the purpose of effective feedback communication
- Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards).
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.
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Senior Data Management Professional - Data Quality - Loans
Posted 19 days ago
Job Viewed
Job Description
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 Team:**
Our Loans Data team is responsible for acquiring and maintaining the full life-cycle of data relating to the Broadly Syndicated and Institutional Loans Market. Timely and accurate acquisition, interpretation, capture and maintenance of loan data is key to meet client needs. The loans market has seen increasingly historic volumes over the past two years in addition to more complex deal structures which has placed emphasis on the need for electronification and automation, uncovering an opportunity for technical innovation for our team.
As a technical leader, you will work with different Securities teams solving problems and devising solutions for data quality challenges. With that, you would be expected to navigate through unknowns and ambiguity while driving decisions and solutions.
**What's the role?**
We are looking for a Data Quality professional to understand the data requirements, specify the modeling needs of datasets and use existing tech stack solutions for efficient data ingestion workflows and data pipelining. You will implement technical solutions using programming, machine learning, AI, and human-in-the-loop approaches to make sure our data is fit-for-purpose for our clients. You will work closely with our Engineering partners, our Data Product Owner as well as Product teams, so you need to be able to coordinate with multi-disciplinary and regional teams and have experience in project management and stakeholder engagement. You will need to be comfortable working with large datasets and you will need to demonstrate strong experience in data engineering.
**That means:**
Transforming how we manage the quality of our datasets, by applying industry best practices to devise quality checks and quality metrics in the ETL processes that create, transform and store data, and measure data against standards defined by our clients' needs
Identifying and advocating for opportunities to improve the quality of data, through process improvements or workflow infrastructure enhancements
Providing guidance on how to implement processes to measure, monitor and report on data quality to our internal partners in Product or Sales
Defining and driving the Data Quality strategy and Quality Assurance practices for the whole Securities group
**We'll trust you to:**
+ Develop, refine, and deliver the strategy for how to achieve best-in-class data quality, and champion organizational change around data quality as a domain of data management
+ Educate and empower colleagues in industry principles of data quality, in order to elevate awareness, appreciation and application of these principles more broadly
+ Closely collaborate with Securities teams and their Product and Engineering counterparts to help craft data quality strategy, execution roadmap, define return on investment and technical solutions
+ Perform data profiling and apply statistical methods to support data quality measurements
+ Optimally and proactively connect with partners and senior management
+ Keep up with the industry trends, standards, and innovation in the Data Quality domain
**You'll need to have:**
+ 4+ years of professional experience in Data Quality Management, Quality Assurance Consulting or establishing Data Governance on metrics design within Finance or Technology industries
+ Experience in crafting and developing data quality metrics and reporting as a part of a bigger data architecture framework
+ Understanding of ETL processes and broader data workflow engineering concepts
+ Up-to-date knowledge of events taking place in the financial markets
+ Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL
+ Ability to lead multiple projects with global scope in parallel, with superb communication and stakeholder management skills
**We'd love to see:**
+ DAMA CDMP or DCAM certifications
+ Familiarity with Corporate Actions, Loans, Corporate Bonds
+ Project Management experience developed in a matrixed partner environment and cross-regional business
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
AI Data Quality Analyst (Generative Models)
Posted today
Job Viewed
Job Description
AI Data Quality Analyst (Generative Models)
- Contract length: 12 months potential for extension
- Salary: £52,000-£57,000 per year
- Location: Hybrid London Brock street 3 days per week
About the Role
We are seeking an AI Data Quality Analyst to support cutting-edge projects in generative AI, including evaluation of image and video models. This role combines hands-on data analysis, annotation, and model quality assessment with opportunities to collaborate closely with engineers and product teams.
Key Responsibilities
- Prototype and run evaluation protocols for generative AI models (image/video).
- Conduct human rating and quality assessments on generated content.
- Identify model gaps and support data mining for training improvements.
- Work with engineers and product design teams to scale validated evaluation methods.
- Ensure data accuracy and maintain high standards in repetitive evaluation tasks.
Skills & Experience
- 1+ year of relevant data analysis experience.
- Knowledge of Python and SQL (basic scripting and querying).
- Strong attention to detail and ability to work on structured evaluations.
- Exposure to computer vision, AI models, or annotation work is highly desirable.
- Degree in Computer Science, Engineering, Physics, Bioinformatics, or similar STEM subject.
Next steps to apply:
Apply now with word document CV or email your CV direct to for immediate review.
AI Data Quality Analyst (Generative Models)
Posted today
Job Viewed
Job Description
AI Data Quality Analyst (Generative Models)
- Contract length: 12 months potential for extension
- Salary: £52,000-£57,000 per year
- Location: Hybrid London Brock street 3 days per week
About the Role
We are seeking an AI Data Quality Analyst to support cutting-edge projects in generative AI, including evaluation of image and video models. This role combines hands-on data analysis, annotation, and model quality assessment with opportunities to collaborate closely with engineers and product teams.
Key Responsibilities
- Prototype and run evaluation protocols for generative AI models (image/video).
- Conduct human rating and quality assessments on generated content.
- Identify model gaps and support data mining for training improvements.
- Work with engineers and product design teams to scale validated evaluation methods.
- Ensure data accuracy and maintain high standards in repetitive evaluation tasks.
Skills & Experience
- 1+ year of relevant data analysis experience.
- Knowledge of Python and SQL (basic scripting and querying).
- Strong attention to detail and ability to work on structured evaluations.
- Exposure to computer vision, AI models, or annotation work is highly desirable.
- Degree in Computer Science, Engineering, Physics, Bioinformatics, or similar STEM subject.
Next steps to apply:
Apply now with word document CV or email your CV direct to for immediate review.