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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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/ ...

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 ...

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 ...

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 ...

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 ...

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 ...

data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong data governance, metadata management and security controls What theyre looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/data pipeline ...

across cloud-based and on-premises environments. Apply software engineering and DataOps principles to improve deployment, automation, monitoring and reliability. Support data quality, governance, metadata management and security requirements. Collaborate with technical teams and stakeholders to deliver robust data solutions that meet business and operational needs. What Were Looking ...

product and senior stakeholders, and helping them with data-related technical issues Designing conceptual, logical and physical data models for the new platform Building metadata-driven pipelines across Azure Synapse, Data Factory and PostgreSQL using Python and PySpark Migrating data from legacy reporting solutions onto the platform while protecting data ...

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 ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have Experience with Informatica ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have Experience with Informatica ...

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 ...

including interfaces, APIs, data synchronisation, failure handling and reconciliation. Strong understanding of legal-sector data domains including client and matter records, workspace and document metadata, conflicts and intake, time capture, billing and WIP. Understanding of how these data domains interact and flow between Document Management, Practice Management, Finance and Risk ...

Cloud, Service Cloud, Revenue Cloud and Data Cloud Configuring and customising Salesforce using Apex, Lightning Web Components, Flows, Validation Rules, process automation and Custom Metadata Building scalable integrations between Salesforce and other platforms (Informatica, ERP, MDM, marketing automation, eCommerce, customer support and data platforms) using REST, SOAP, Platform Events ...