1 to 25 of 36 Metadata Jobs in the Thames Valley

roadmaps, and innovation. ETL/ELT & Data Engineering – Provide oversight on robust data pipeline and integration designs using SSIS, ADF, Informatica, or IBM DataStage. Data Governance & Quality – Define governance, metadata, and quality frameworks using tools such as Unity Catalog, Profisee, Alation, or DQ Pro. Technical Leadership – Mentor cross-functional teams and embed best practices and innovation across projects. Industry Insight More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

Experience with pair programming, conducting code reviews, and mentoring team members. Proven ability to reconcile data across systems and ensure data quality and integrity. Experience with data cataloging and metadata management using tools like AWS Glue Data Catalog. Demonstrated self-sufficiency in exploring new tools, troubleshooting issues, and continuously improving processes. Hands-on experience with Apache Airflow for orchestrating complex More ❯

roles within insurance, financial services, or regulated industries . Strong expertise in: Enterprise Data Strategy, Governance & Operating Models Data Platforms & Cloud (AWS/GCP, Databricks, etc.) Data Management, MDM, Metadata, Lineage, and Quality frameworks Regulatory Compliance (GDPR, Solvency II, IFRS 17, FCA/PRA requirements). Hands-on knowledge of data architecture, analytics, and AI/ML adoption . Exceptional More ❯

medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs. Experience with infrastructure as code, proficiency using tools such as Terraform to automate and More ❯

ETL workflows.• Develop and optimise relational and non-relational database systems.• Collaborate with analysts, researchers, and IT teams to deliver tailored data solutions.• Implement and maintain data governance and metadata frameworks.• Ensure data security, integrity, and compliance with regulations such as GDPR.• Contribute to data architecture design and enterprise data strategy.• Lead technical data planning within change programmes.• Explore and More ❯

platforms, data warehousing (Snowflake), and real-time systems. Experience with data modelling standards (e.g., 3NF, Dimensional, Vault 2.0) and tools (e.g., Erwin, Lucidchart). Strong grasp of data governance, metadata management, and compliance frameworks (e.g., GDPR). Hands-on understanding of Python, SQL, and modern data engineering tools (e.g., Airflow, DBT, Atlan). Exceptional consulting and stakeholder management skills. Career More ❯

user needs when designing deliverables. Experience in designing technology solutions with complex end-to-end data flows. Experience in implementing data governance, including data cataloging, data lineage tracking, and metadata management to ensure data accuracy, accessibility, and compliance. Preferred: Experience with Databricks Understanding of how data platforms interact with marketing and customer engagement platforms. Knowledge of service-oriented architecture, including More ❯

Spark Structured Streaming. Implement secure, scalable storage using Delta Lake formats, Azure Data Lake Gen2, and time-series solutions (e.g. Azure Data Explorer). Deliver data validation, schema evolution, metadata management, and lineage tracking to production quality. Mentoring & Capability Building Actively mentor and upskill internal data engineers and analysts throughout the project. Establish coding standards, design patterns, and operational best More ❯

Strong knowledge of data modelling tools Expertise in relational and non-relational database systems Experience in enterprise data architecture, data warehousing, and data integration Strong understanding of data governance, metadata, and data quality principles More ❯

goals Apply governance frameworks and ensure accountability The successful Data Quality Analyst will have: Proficient in BI tools (e.g., Power BI) Familiar with Agile and Waterfall methodologies Experience with metadata management, data catalogues, and stewardship tools Understanding of Master Data Management principles Desirable Proven success in data governance programs Operational and change management experience Ready to help shape the future More ❯

Technical components and Data Engg. related activities for supporting the key capabilities Technical Data Architecture Data Ingestion framework (Batch/Micro Batch processing ) Data Contract & Data management (including DQ, metadata & lineage) Delivery, Scaling & Op Model Discovery/assessment along with the Data platform requirements Identify and document the relevant data sources to be used for collection & ingestion, cataloging, defining Data More ❯

evaluate data sources in collaboration with data architects, data owners, SMEs, and stakeholders. Develop and enforce governance policies and standards for authoritative data sources. Document data flows, provenance, and metadata to support transparency, traceability, and regulatory compliance. Provide training and guidance to colleagues and data consumers on interpreting and using authoritative data assets. About You You will bring strong expertise More ❯

and hybrid systems. Strong documentation skills: HLDs, LLDs, conceptual/logical/physical models. Experience translating user needs into actionable roadmaps. Nice to have: Familiarity with data governance and metadata management . Experience in regulated or government settings. Certifications (Azure Solutions Architect Expert/AWS Solutions Architect – Professional). Why apply? Salary up to £90,000 + discretionary bonus Private More ❯

entity-component-system (ECS) frameworks. Background in writing production-quality code and scaling models to work with very large datasets. Knowledge of distributed systems and data engineering (Kafka, pipelines, metadata management). Experience with containerised deployments (Docker, Kubernetes, Helm). Strong collaboration skills, with a focus on sharing knowledge and working as part of a team. A holistic approach to More ❯

one. Please note that this role is office-based (Finsbury Square, Monday to Friday). Responsibilities Build and maintain services that support AI agent interaction. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Develop internal tooling that supports AI-native workflows. Establish best practices for prompt engineering, model fine-tuning, and evaluation. Stay current with developments in More ❯

or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and implement metadata driven pipelines to automate data processing tasks. • Collaborate with cross-functional teams to understand data requirements and implement appropriate solutions. • Ensure data quality, integrity, and security throughout the data pipeline. … Azure SQL/SQL Server. • Proficiency in SQL and Python languages. • Hands-on experience in designing and building data pipelines using Azure Data Factory (ADF). • Familiarity with building metadata driven pipelines. • Knowledge of Azure Storage, Medallion Architecture, and working with data formats such as JSON, CSV, and Parquet. • Strong understanding of IT concepts, including security, IAM, Key Vault, and More ❯

communication skills and ability to work autonomously. Bonus points if you have: Experience with Git, branching strategies, and Jira. SaaS background. Knowledge of video technologies (transcoding, encoding, ad insertion, metadata, etc.). More ❯

Senior Business Intelligence Analyst/Data Manager Excellent opportunity within a progressive company for a Senior Analyst. Gather and analyse business requirements for reporting and data insight needs, ensuring solutions add real value. Provide support for users of BI tools More ❯

Business Intelligence Analyst Excellent opportunity within a progressive company for a BI Support Analyst. Gather and analyse business requirements for reporting and data insight needs, ensuring solutions add real value. Provide support for users of BI tools, answering queries and More ❯

Business Intelligence Analyst Excellent opportunity within a progressive company for a BI Support Analyst. Gather and analyse business requirements for reporting and data insight needs, ensuring solutions add real value. Provide support for users of BI tools, answering queries and More ❯

shape the future of their technology. Build and maintain services that support AI agent interaction . Apply GenAI to modernise, refactor, and accelerate legacy systems. Implement APIs, contracts, and metadata aligned with the Model Context Protocol. Contribute to internal tooling that supports AI-native SDLC workflows . Participate in design reviews, code reviews, and incident response. You’re an innovative More ❯

brand creative across multiple channels. Responsibilities: Manage and maintain the Client Hub platform, ensuring digital assets are organized, current, and accessible through WordPress and other file storage platforms Apply metadata, tagging, and filtering best practices to enhance asset discoverability and structure Collaborate with senior designers and stakeholders to create marketing content that communicates brand objectives and product value Support visual More ❯

Build and execute content strategies to improve rankings for high-intent and mid-funnel keywords Conduct keyword research , competitor audits, and gap analysis across product and sector pages Optimise metadata, internal linking, and site structure for improved crawlability and performance Work with web development team on technical SEO fixes (Core Web Vitals, schema, redirects, multilingual site setup) Oversee link building More ❯

analytical needs. Lead and mentor offshore data teams, ensuring alignment with delivery timelines and quality standards. Ensure data quality, lineage, and governance using tools like Unity Catalog, Purview, and metadata-driven frameworks. Good experience in data architecture and design. Strong hands-on experience with Azure Data Services, Databricks, and ADF. Proven experience in insurance data domains and product-oriented data … design. Excellent communication and stakeholder management skills. Experience with data governance and metadata management tools." ABOUT CAPGEMINI Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in More ❯