351 to 375 of 536 Data Quality Jobs in London

Senior Platform Engineer £500-£600 per day Outside IR35 6-months Join one of the UK's leading online retailers as they evolve their next-generation data platform. This is an opportunity to shape the backbone of a modern data ecosystem, empowering analysts, ML engineers, and data scientists to deliver smarter, faster insights at scale. The Role … You'll play a key role in designing and engineering platform services that treat data as a core product. This means building scalable, secure, and observable systems that help teams confidently leverage data across the business. You'll work closely with a wide range of technical and non-technical partners to deliver resilient infrastructure, champion data governance … and mentor others in engineering excellence. In this role, you will: Shape the data platform roadmap: Introduce modern observability, quality, and governance frameworks that elevate how teams access and trust data. Build and scale infrastructure: Develop services, APIs, and data pipelines using modern cloud tooling and automation-first principles. Drive engineering best practices: Implement CI/CD More ❯

are seeking an experienced Technical Business Analyst (Tech BA) to support a strategic initiative focused on the disablement of client records in source systems following migration, ensuring seamless downstream data and process integrity. he role will involve analysing system dependencies, defining business and technical requirements, and working closely with technology and operations teams to mitigate risks and ensure compliance … with data, regulatory, and operational standards. The ideal candidate will bring strong analytical skills, a solid understanding of wealth management or corporate banking environments, and hands-on experience working across data migration, client lifecycle management, and systems decommissioning. Key Responsibilities: Conduct detailed analysis of client disablement processes post-migration from the source system(s). Identify and document … all downstream system dependencies, data flows, and integrations affected by client disablement. Define and validate business rules, triggers, and exception handling for disabling clients and associated data. Collaborate with technology, data, and business stakeholders to ensure downstream systems handle client disablement correctly. Produce detailed process maps, data lineage, and impact assessments. Work with developers, testers, and architects More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all More ❯

Data Engineer — Hedge Fund (L/S Equity) | London A fundamentally driven long/short equity fund focused on the European Industrials sector is seeking a Data Engineer for a variety of greenfield development. Founded by a former Citadel portfolio manager, the team brings together expertise from leading global institutions such as Citadel, DE Shaw and Millennium. They … combine rigorous data analysis with industry insight to anticipate industrial cycles ahead of the market, acting decisively when conviction and evidence align. Role Overview We are seeking a highly skilled Data Engineer to design, build and maintain the core data infrastructure powering the investment and risk processes. This is a fully hands-on role within a small … high-calibre team, offering significant impact and ownership. You will develop robust, production-grade ETL pipelines, manage cloud-based and on-prem data environments, and integrate diverse datasets from external vendors, trading systems and internal sources. The role also involves implementing automated data validation processes, optimising data quality and performance, and ensuring high availability across all More ❯

across London and the South of England. We will invest £8.5bn over the next 10 years, building 25,000 new homes, as well as regenerating estates and improving the quality of existing homes. Our purpose is to provide good, affordable homes: the foundation for a better life, and a vision of thriving communities, over generations. The Role Reporting to … as portfolio analysis, risk analysis, capital allocation, rent analysis, sales analysis, disposals, retrofits and regeneration reporting. Main responsibilities include: Creating insight and analysis to understand the portfolio performance, asset quality, market performance, identifying risks and opportunities Providing recommendations by collaborating with stakeholders to drive continuous improvement of our investment strategy, portfolio performance and capital allocation Designing, delivering and maintaining … requirements into the clear and concise technical development specifications Managing and updating the project management board for responsible projects aligned with the I&D Analytics project roadmap Working with data engineers and business owners to create data pipelines for reporting and analytics with consideration of the planned system integration, transformation and data migration Delivering Power BI data More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

re partnering with an award-winning AI & analytics consultancy working across finance, retail, SaaS, and government sectors. They’re expanding their team with an Analytics Engineer passionate about turning data into scalable, real-world solutions. The role: You’ll design and maintain robust data pipelines, optimize cloud data warehouses, and enable analytics and modelling teams with reliable … high-quality data. Expect to work across diverse client projects, collaborating with both internal engineers and client tech teams. Key responsibilities: Build and maintain ETL pipelines and cloud data warehouses (AWS, GCP, Snowflake) Develop custom data connectors (e.g. Salesforce, SAP) Automate data cleansing and transformation workflows Support analytics and AI teams with clean, production-ready data About you: 3+ years in Analytics/Data Engineering Strong SQL and database design skills Proficient in Python or R for automation Hands-on with cloud platforms (AWS/GCP/Azure/Snowflake) Passion for data quality, scalability, and collaboration Nice to have: Experience with SaaS products, analytics tooling, or modern data stack tools More ❯

Key Responsibilities: Analyse data from various sources (OneDrive, SharePoint, Teams channels etc. ) to identify redundant, obsolete, and trivial (ROT) content. Map file server structures and Exchange configurations to Microsoft 365 destinations, ensuring alignment with best practices. Conduct pre- and post-migration validation checks including data integrity, permissions mapping, access verification, and mail flow validation. Configure and manage hybrid … . Engage with business stakeholders and change management teams to drive user readiness and adoption. Automation scripts for discovery, reporting, and pre/post-migration validation. Migrating unstructured data from on-premises file servers and network shares to OneDrive for Business, SharePoint Online, and Microsoft Teams. Provide technical guidance and escalation support during critical migration phases and post-migration … implementation of migration processes using tools such as ShareGate, AvePoint, Quest, Metalogix, BitTitan, Binary Tree, or native Microsoft tools (Mover, Migration Manager, HCW, PST import/export). Develop data transformation scripts to produce portfolio data. Data cleansing, profiling, mapping and mining of portfolio data. Ensure client data used for portfolio delivery is stored in consistent format More ❯

Key Responsibilities: Analyse data from various sources (OneDrive, SharePoint, Teams channels etc. ) to identify redundant, obsolete, and trivial (ROT) content. Map file server structures and Exchange configurations to Microsoft 365 destinations, ensuring alignment with best practices. Conduct pre- and post-migration validation checks including data integrity, permissions mapping, access verification, and mail flow validation. Configure and manage hybrid … . Engage with business stakeholders and change management teams to drive user readiness and adoption. Automation scripts for discovery, reporting, and pre/post-migration validation. Migrating unstructured data from on-premises file servers and network shares to OneDrive for Business, SharePoint Online, and Microsoft Teams. Provide technical guidance and escalation support during critical migration phases and post-migration … implementation of migration processes using tools such as ShareGate, AvePoint, Quest, Metalogix, BitTitan, Binary Tree, or native Microsoft tools (Mover, Migration Manager, HCW, PST import/export). Develop data transformation scripts to produce portfolio data. Data cleansing, profiling, mapping and mining of portfolio data. Ensure client data used for portfolio delivery is stored in consistent format More ❯

Key Responsibilities: Analyse data from various sources (OneDrive, SharePoint, Teams channels etc. ) to identify redundant, obsolete, and trivial (ROT) content. Map file server structures and Exchange configurations to Microsoft 365 destinations, ensuring alignment with best practices. Conduct pre- and post-migration validation checks including data integrity, permissions mapping, access verification, and mail flow validation. Configure and manage hybrid … . Engage with business stakeholders and change management teams to drive user readiness and adoption. Automation scripts for discovery, reporting, and pre/post-migration validation. Migrating unstructured data from on-premises file servers and network shares to OneDrive for Business, SharePoint Online, and Microsoft Teams. Provide technical guidance and escalation support during critical migration phases and post-migration … implementation of migration processes using tools such as ShareGate, AvePoint, Quest, Metalogix, BitTitan, Binary Tree, or native Microsoft tools (Mover, Migration Manager, HCW, PST import/export). Develop data transformation scripts to produce portfolio data. Data cleansing, profiling, mapping and mining of portfolio data. Ensure client data used for portfolio delivery is stored in consistent format More ❯

Key Responsibilities: Analyse data from various sources (OneDrive, SharePoint, Teams channels etc. ) to identify redundant, obsolete, and trivial (ROT) content. Map file server structures and Exchange configurations to Microsoft 365 destinations, ensuring alignment with best practices. Conduct pre- and post-migration validation checks including data integrity, permissions mapping, access verification, and mail flow validation. Configure and manage hybrid … . Engage with business stakeholders and change management teams to drive user readiness and adoption. Automation scripts for discovery, reporting, and pre/post-migration validation. Migrating unstructured data from on-premises file servers and network shares to OneDrive for Business, SharePoint Online, and Microsoft Teams. Provide technical guidance and escalation support during critical migration phases and post-migration … implementation of migration processes using tools such as ShareGate, AvePoint, Quest, Metalogix, BitTitan, Binary Tree, or native Microsoft tools (Mover, Migration Manager, HCW, PST import/export). Develop data transformation scripts to produce portfolio data. Data cleansing, profiling, mapping and mining of portfolio data. Ensure client data used for portfolio delivery is stored in consistent format More ❯

Senior Data Scientist – Personalisation London – Hybrid Up to £65,000 About the Role We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention. Analyse customer behaviour, lifecycle patterns, and engagement to … uncover opportunities for product and marketing optimisation. Develop and maintain advanced analytical models to forecast customer outcomes and measure impact. Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making. Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For More ❯

Senior Data Scientist – Personalisation London – Hybrid Up to £65,000 About the Role We’re working with a growing fintech organisation that’s redefining how people save and invest. Their mission is to make financial wellbeing simple, transparent, and accessible - helping customers feel confident about their money through technology, insight, and great user experience. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience. Key Responsibilities Translate business challenges into analytical questions and deliver data-led insights that drive customer growth and retention. Analyse customer behaviour, lifecycle patterns, and engagement to … uncover opportunities for product and marketing optimisation. Develop and maintain advanced analytical models to forecast customer outcomes and measure impact. Present clear, data-driven recommendations to senior stakeholders, influencing strategy and decision-making. Work closely with Data Engineering and BI teams to ensure data quality, accessibility, and scalability across the organisation. What We’re Looking For More ❯

Data Engineering Lead - Summary A leading global construction firm is seeking a Data Engineering Lead to drive the evolution of its hybrid Azure/Databricks data platform. This role is central to building scalable, high-performance data solutions that bridge infrastructure and business intelligence. Key Responsibilities:* Design and maintain robust data pipelines for ingestion, transformation … and delivery* Leverage Azure, Databricks, and Azure Data Factory to integrate and enrich data from diverse sources* Implement orchestration, monitoring, and error-handling best practices* Optimize hybrid cloud architecture for performance, scalability, and cost-efficiency* Lead a team of BI Developers, ensuring timely delivery of dashboards and data products* Promote adoption of best practices and continuous learning … within the team* Enforce data quality, governance, and security standards Technical Requirements:* Deep experience with Azure, SQL, Databricks, Azure Data Factory, and medallion architecture* Strong ETL design and hybrid cloud integration skills* Proficiency in Power BI and DAX for dashboard development* Solid understanding of KPI frameworks and dashboarding tools* Proven leadership in data analytics or BI More ❯

Role: QA Engineer Engineer Location: London, UK (Hybrid) Employment Type: B2B Contract. Detailed Job Description: • 5-8 years of experience in ETL Testing, Snowflake, DWH Concepts and Data based testing (RDBMS, cloud-based technologies). • Strong SQL knowledge & debugging skills are a must. • Experience on Azure and Snowflake Testing is plus • Experience with Qlik Replicate and Compose tools (Change … Data Capture) tools is considered a plus • Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool •Experience in JIRA, Xray defect management tools are good to have. • Exposure to the financial domain knowledge is considered a plus •Testing the data-readiness (data quality) address code or data … judgment and innovation to define clear and concise solutions • Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution • Prior experience with State Street and Charles River Development (CRD) considered a plus • Experience in tools such as PowerPoint, Excel, SQL More ❯

Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake I've partnered with a high-growth start-up looking to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event … stream and micro-batching data Experienced in Data Quality Assurance Experience with Data Warehouse Modelling Hybrid working in Central London - Monday in the office is essential Pays £450-£500 p/d Outside IR35 3-month initial engagement Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake More ❯

Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake I've partnered with a high-growth start-up looking to expand their Data function, by bringing on a Senior Data Engineer on a contract basis - more info below: Senior Data Engineer: Tech stack - Python, SQL, ETL Pipelines, Airflow, BigQuery, Redshift, Snowflake, AWS/GCP Experience with event … stream and micro-batching data Experienced in Data Quality Assurance Experience with Data Warehouse Modelling Hybrid working in Central London - Monday in the office is essential Pays £450-£500 p/d Outside IR35 3-month initial engagement Senior Data Engineer - Python, SQL, Airflow, Redshift, Snowflake More ❯

Data Engineer (Insurance OR Financial Services Background) - London - £75,000-£85,000 - Hybrid Data Engineer required to join a UK leading insurance business based in London. They are looking for someone who is happy to collaborate on a hybrid basis (1/2 days a week onsite). They offer excelllent career advancement alongside regular salary … reviews. This position is perfect for someone who takes pride in owning data, code, and outcomes. You ll play a central role in shaping and maintaining the data platforms and pipelines that drive pricing analytics and underwriting performance. Your work will ensure data quality, consistency, and scalability across the board. Partnering with teams across Pricing and … Underwriting, Data Science, and Engineering, you ll design and build modular, transparent pipelines - delivering end-to-end visibility from raw data ingestion to pricing model deployment, empowering smarter and faster decision-making. Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data More ❯

Data Engineer Salary: £70,000 Location: London (3 Days per Week in Office) Join a fast-paced analytics team driving data innovation at a global tech powerhouse! Take ownership of modern data pipelines, shape the future of reporting, and make an immediate impact in a collaborative, forward-thinking environment. The Opportunity This is an exciting opportunity to … step into a senior-level data engineering role within a global technology business that's transforming the way customers connect with everyday services. You'll play a key part in building and optimizing modern data pipelines, supporting a major migration from Tableau to Looker, and ensuring the delivery of clean, reliable, and scalable data solutions. The team … operates with a strong focus on collaboration, innovation, and autonomy, giving you the chance to influence data strategy and mentor others. You'll work closely with analytics and marketing stakeholders to bring data-driven insights to life and help shape the future of customer experience. This is a role for someone who thrives in a dynamic environment and More ❯

Data Scientist Renewable Energy Up to 600/Day Outside IR35 Remote, LDN 6 Mths Rolling One of our Renewable Energy clients in the sustainable infrastructure space is seeking an experienced Data Scientist to join their advanced analytics team. This is a fully remote, hands-on role focused on solving complex operational challenges through data-driven insights … and machine learning. Youll be working in a fast-paced environment, collaborating with cross-functional teams to develop models, guide technical decisions, and help shape the future of data science within the business - the company operates in a highly dynamic sector with a strong focus on innovation and efficiency. As a Data Scientist, you'll work closely with … both technical and non-technical teams to identify business problems and translate them into data science solutions. You'll lead the development of machine learning models - be hands on with Python and its data science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. 6 months rolling contract Remote, LDN Data Scientist More ❯

Graduate Data Analyst - Insurance Sector - Hybrid 3 days City HQ - £28,000-£30,000 Our client are seeking a Class of '25 Computer Studies or Data Science Graduate to cross-train into a detail-oriented and efficient Underwriting Technician (Data Analyst) and join their team at a leading UK-based insurance broker, specialising in film, television, music … and sport insurance. This role is integral to maintaining the accuracy and integrity of underwriting, policy, and client data across their entertainment insurance programs. The ideal candidate will ensure that information is processed correctly and in compliance with company and carrier requirements, supporting smooth operational workflows across the business. Graduate Underwriting Technician - Key Responsibilities: Accurately input, update, and maintain … policy, client, and underwriting data within internal systems and databases. Verify and reconcile data for completeness and accuracy, addressing any discrepancies as needed. Support underwriters and operational teams by providing timely and accurate data processing. Generate and distribute routine reports from databases as required. Assist in database cleansing to ensure data is up to date and More ❯