1 to 25 of 875 Metadata Jobs in the UK

future scalability.Experience assessing data quality across source systems and defining practical remediation approaches, including profiling, rule definition, issue management and ownership.Strong understanding of metadata management, including business metadata, technical metadata, operational metadata, lineage, cataloguing, enterprise metadata models and integration with wider data governance.Ability to map dependencies across technology, process, people … roadmap development and production of client-facing deliverables.DesirableExperience working with UK public sector organisations or similarly complex, regulated environments.Experience delivering MDM, data governance or metadata management work within central government, healthcare, housing, education, policing, defence or wider public services.Experience with Microsoft Fabric and its interaction with Purview, OneLake, Power ...

accuracy, and integrity across platforms. Data Governance & Compliance Partner with business and technology leaders to establish data governance policies and procedures. Define data standards, metadata management practices, and master data management strategies. Ensure compliance with data privacy, security, and regulatory requirements. Support audit and risk management activities related to data ...

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable data products. ...

with the ability to design innovative solutions to complex data challenges. Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management. Skilled in leading the lifecycle of production-grade data products, from conceptual modelling to deployment and continuous optimization Familiarity with ...

lakehouses, data virtualisation and distributed data architectures.Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind.Embed data governance, data quality, metadata management and security principles into solution designs.Work with both structured and unstructured data across a range of technologies and platforms.Collaborate with engineering, analytics, data science ...

platforms. Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms. Strong understanding of data modelling, database design, metadata management, and data architecture principles. Experience implementing data quality, governance, and assurance practices. Experience supporting reporting, analytics, and business intelligence solutions. Understanding of information security ...

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 philosophies (Dimensional, ODS, Data Vault) and real ...

regulated environments. Experience working with NCSC Cloud Security Principles, government security guidance, and regulated industry standards. Knowledge of enterprise data governance, master data management, metadata management, and data quality frameworks. Experience building business cases, investment proposals, and transformation strategies for executive stakeholders. Relevant certifications such as Microsoft Certified Azure Solutions ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

solutions, ensuring engineering excellence and reusability across the platform Establishing and governing enterprise data models, engineering standards, security controls, data quality frameworks, lineage and metadata management practices across the Azure Data Platform Leading the migration and modernisation of legacy data warehouse and SQL Server environments, driving adoption of cloud-native ...

Microsoft 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 Modelling ...

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 ...

providing ongoing 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 management ...

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 ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical concepts into ...

required.Governance, Security and Data ManagementExperience designing within structured architectural governance frameworks.Familiarity with government assurance processes and design authorities.Strong understanding of data governance frameworks and metadata management.Experience designing for GDPR and UK public sector data protection requirements.Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.Stakeholder EngagementAbility to influence architectural ...

data is well structured, understood and trusted. Work alongside colleagues responsible for data governance and business stakeholders to improve data quality, ownership, lineage and metadata across Phoenix UK. Evaluate emerging capabilities within Microsoft Fabric, Azure and the wider AI ecosystem, identifying opportunities to improve the platform and accelerate value delivery. ...

Data Management Experience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder Engagement ...

Secure Government Data Architecture Practice. About you Technical Expertise Enterprise Data Architecture. Solution Data Architecture. Data Strategy. Information Architecture. Data Modelling. Data Governance. Metadata Management. Master Data Management. Data Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory ...

cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration ...

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 ...

Lead Architect in AI Data programmes, preferably within banking or financial services. Strong understanding of data architecture (data lakes, lakehouse, data warehouses, streaming, metadata, governance). Hands‐on experience with AI/ML/GenAI architectures, including model lifecycle management and MLOps. Experience designing solutions on cloud platforms (AWS, Azure ...

cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed dataproductsand marketplaces DataOpsand observability:Testing, monitoring, operationalcontrolsand platform reliability Platform engineering:Terraform, CloudFormation ...

clients address their biggest data challenges, focusing on establishing robust data governance frameworks, improving data quality, managing data migrations, and implementing effective master and metadata management strategies.Our projects vary greatly and your responsibility will differ based on your level, experience and the focus of the client engagement, but could include ...