1 to 25 of 519 Metadata Jobs in the UK

Metadata Lead - HYBRID Metadata Lead This is a unique opportunity to take ownership of an enterprise metadata capability, shaping how data is discovered, governed and trusted across the organisation. As the Metadata Lead, you will own the vision and roadmap for our metadata tooling landscape, including Collibra and Unity Catalog … technical and regulatory needs into scalable, business-focused solutions while driving adoption, value realisation and continuous improvement. This is an exciting opportunity for a metadata leader ready to drive real business value through data. Main Responsibilities as Metadata Lead: Design, own and deliver the metadata roadmap. Lead Collibra and Unity ...

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 … 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 ...

Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related best practices.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using Microsoft Purview and aligned standards for trusted, auditable data products.* Own security architecture for data ...

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 ...

target data warehouses.Experience performing data profiling, root-cause analysis, data quality assessments, exception resolution, and reconciliation activities.Understanding of data governance concepts including data quality, metadata management, data cataloging, lineage, stewardship, controls, and ownership.Strong understanding of relational data models, dimensional data modeling concepts, and data warehouse architectures including fact and dimension ...

regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Experience working alongside Data Product Owners and Data Architects. Exposure to data governance and metadata management frameworks. CI/CD, Infrastructure as Code, and DevOps practices within data platforms. Skills & Attributes Strong hands-on engineering capability. Consultative approach with ...

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 ...

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 ...

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 ...

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. ...

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 ...

delivery teams through complex technical decisions ensuring solutions are robust, governable and deliverable into live service. Key responsibilities include: Designing data architectures, including cataloguing, metadata, lineage, quality, ownership and classification, to ensure data is trusted, discoverable, secure and fit for purpose from source to consumption. Taking architectural ownership ...

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 ...

/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge ...

company's enterprise data warehouse. Responsibilities include: Dimensional modelling Star schema design Fact and dimension modelling Slowly changing dimensions Master data management Metadata management Semantic layer design Data lineage Business definitions Data quality controls You will ensure the warehouse becomes the trusted source for all business reporting. Data Engineering Remain ...

defining integration patterns across core WAM platforms. Establish robust data quality, reconciliation and control frameworks, alongside master and reference data strategies aligned to governance, metadata, privacy and stewardship, with appropriate audit trails, review and escalation pathways for AI-enabled processes. Act as a subject matter expert, translating complex technical concepts ...

Strong knowledge of conceptual, logical and physical data modelling. Experience designing data architectures across complex organisations or programmes. A strong understanding of data governance, metadata management, data lineage and data quality. Experience integrating data across multiple systems, platforms and organisational boundaries. Knowledge of modern cloud-based data platforms and architectural ...

storage, relational DBs, APIs, event streams) and implement robust ingestion patterns. Apply data governance and security best practices (access controls, secrets management, lineage/metadata, auditing). Create clear documentation for pipelines, data contracts, and operational runbooks. Leverages enterprise-authorized AI coding assist tools within the work environment to improve ...

based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience with Data Governance, Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), LLM integration ...

Secure Government Data Architecture Practice. About you Technical expertise Area: 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 ...