1 to 25 of 379 Metadata Jobs in the UK

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. ...

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 ...

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 ...

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 ...

alerting processes. o Work with data governance teams to ensure compliance with data governance policies and standards. o 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. o Communicate ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Drive adoption of engineering best practices including code quality, peer reviews, automated testing, CI/CD, and documentation standards. Ensure data quality, governance, lineage, metadata management, security, privacy, and compliance requirements are incorporated into data solutions. Monitor and optimize performance, scalability, reliability, and cost efficiency of distributed data processing workloads. ...

patterns (ETL/ELT, API‐led connectivity). Strong capability to design distributed, highly available, and secure data pipelines. Information Architect: Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic ...

engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems ...

data warehouses, lakehouses, data virtualisation, and modern data pipelines. Provide architectural leadership across cloud, on-premise, and hybrid platforms. Design data management frameworks covering metadata, lineage, quality, governance, ownership, and classification. Support the adoption of AI-enabled data and analytics capabilities. Ensure architecture aligns with business requirements, governance standards ...

data warehouses, lakehouses, data virtualisation, and modern data pipelines. Provide architectural leadership across cloud, on-premise, and hybrid platforms. Design data management frameworks covering metadata, lineage, quality, governance, ownership, and classification. Support the adoption of AI-enabled data and analytics capabilities. Ensure architecture aligns with business requirements, governance standards ...

data warehouses, lakehouses, data virtualisation, and modern data pipelines. Provide architectural leadership across cloud, on-premise, and hybrid platforms. Design data management frameworks covering metadata, lineage, quality, governance, ownership, and classification. Support the adoption of AI-enabled data and analytics capabilities. Ensure architecture aligns with business requirements, governance standards ...

Lead the design of conceptual, logical, and physical data models Support batch, streaming, and real-time data processing capabilities Drive best practice across governance, metadata, lineage, and data quality Optimise platform performance, scalability, reliability, and cost Collaborate closely with engineering, analytics, architecture, and data science teams Provide technical leadership ...

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 ...