1 to 25 of 128 Metadata Jobs in the UK

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture methodologies (Dimensional, ODS, Data Vault) and real ...

Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

Google Cloud data services and modern data platforms. Experience with data modelling techniques including dimensional, relational or Data Vault modelling. Knowledge of data governance, metadata management and data quality frameworks. Experience working with AI and machine learning within data platforms, alongside an understanding of AI governance. Familiarity with platforms such ...

Microsoft Fabric Azure Synapse Enterprise Data Platforms Strong dimensional data modelling experience. Experience designing secure and governed analytics solutions. Knowledge of data governance, lineage, metadata, and data quality principles. Experience implementing CI/CD and source control practices for Power BI solutions. Strong stakeholder management and communication skills. Experience delivering ...

legacy platforms such as Oracle, SQL Server/SSIS or Synapse. Power BI semantic models, curated datasets and supporting analytics platforms. Data quality, governance, metadata management and lineage. Data security, classification and access control approaches. Automated testing, validation, reconciliation testing and performance optimisation. DataOps, CI/CD and version control ...

compare Data Architecture Options, platforms, and technology enablers based on business and technical requirements. Experience creating comprehensive Current-State Data Inventories, data dictionaries, metadata repositories, and lineage documentation. We are a Disability Confident Employer : Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government ...

Azure SQL/SQL Server to process and manage large datasets. Design and implement data models using Kimball, 3NF and dimensional modelling approaches. Develop metadata-driven pipelines to improve automation and efficiency. Work closely with technical teams and clients to understand data requirements and deliver effective solutions. Maintain high standards ...

scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other ...

analysis and requirements gathering . Hands-on experience with Data Quality and Data Governance frameworks . Experience with data quality rules, data lineage and metadata management . Strong SQL skills for data analysis, validation and reporting. Experience with tools such as Collibra, Solidatus or Microsoft Purview . Understanding of financial ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/ ...

guidance and mentoring. Experience Required Data Architecture: Strong experience in data modelling, transformation, migration, and analytics/AI solutions, with knowledge of data quality, metadata, and modern platforms. Cloud & Technology: Hands-on experience with AWS and/or Azure data services, plus knowledge of distributed systems, integration, microservices, and containerisation ...

practices across security, performance, scalability and cost optimisation. Provide technical leadership, architecture governance and design documentation. Develop data quality frameworks, governance policies, schemas and metadata repositories. Integrate AI and machine learning into data solutions, including automation, anomaly detection and predictive data quality. Support data visualisation and translate complex data into ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

scalability Experience supporting operational, analytical or historical reporting workloads Understanding of cloud-native data technologies, data orchestration and ETL processes Awareness of data governance, metadata management, data quality, data lineage and the responsible use of AI-assisted tooling Positive and collaborative approach, with the ability to remain calm, adaptable ...

high standards of quality, governance and security. Desirable experience Regulated environment. PySpark for large-scale data transformations. Migrating legacy data estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

experience Financial services or another regulated environment. PySpark for large-scale batch or streaming transformations. Migrating SQL Server and SSIS estates to lakehouse or metadata-driven architectures. Customer Data Platforms or event-driven systems. Data-quality tools such as dbt tests or Great Expectations. MCP servers or governed natural-language ...

Data Flows: Architect operational and analytical data pipelines across APIs, streaming, CDC, batch and ETL/ELT, embedding data quality, lineage, metadata, security, testing and observability throughout. Technical Leadership & Delivery: Work closely with engineering and product teams in fast-paced agile environments, making pragmatic trade-offs and establishing lightweight guardrails ...

measurable outcomes. Data Strategy, Governance & Semantic Technologies: Help clients establish trusted and connected R&D data foundations through governance, master data management, interoperability, metadata management, and modern data architectures. Lead the application of semantic technologies, ontologies, RDF-based knowledge graphs, and common data models to create a shared understanding ...

Apply security, governance and access controls appropriate to an SC environment RAG and retrieval Build ingestion for unstructured content, including document parsing, OCR and metadata enrichment Build production RAG pipelines: chunking, embeddings, hybrid search (vector + BM25), reranking and context assembly Enforce document-level access controls at query time Evaluate ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

leadership experience Strong Azure data platform expertise, including Azure Databricks Experience designing modern lakehouse and enterprise data architectures Strong understanding of data governance, metadata, MDM and enterprise data modelling Experience supporting AI/ML initiatives and modern AI data platforms Excellent stakeholder management and communication skills Experience working within enterprise ...