551 to 575 of 694 Metadata Jobs in the UK

data structures supporting enterprise knowledge and AI use cases. Develop and maintain knowledge graph capabilities. Work with graph and vector-based data technologies. Implement metadata management and data cataloguing capabilities. Support enterprise search indexing and information retrieval. Ensure data quality, governance and lineage across the platform. Design event-driven data … usable. Key Skills & Experience Python and SQL Google Spanner Neo4j/Graph Databases Knowledge Graph Engineering ETL/ELT pipelines BigQuery Data modelling Metadata management Data cataloguing Vector databases Event-driven architecture Enterprise search indexing Data governance and quality Data lineage Distributed systems Performance and scalability optimisation ...

intelligent workflows while working with technology teams to configure AI-powered data management capabilities and agentic solutions.Enable AI-ready data by establishing standards for metadata, business glossaries, taxonomies, data products and semantic layers that support both trusted business consumption and AI model interoperability.Collaborate with architecture, engineering and platform teams … within data management, ensuring appropriate human oversight, auditability and regulatory alignment.Deliver and embed core data management capabilities, including data governance, ownership, data quality, metadata, lineage and stewardship, while supporting organisational adoption through stakeholder engagement, change management and continuous improvement.Beyond client delivery, you will also:Contribute to Capco thought leadership, exploring ...

workflows while working with technology teams to configure AI-powered data management capabilities and agentic solutions. Enable AI-ready data by establishing standards for metadata, business glossaries, taxonomies, data products and semantic layers that support both trusted business consumption and AI model interoperability. Collaborate with architecture, engineering and platform teams … within data management, ensuring appropriate human oversight, auditability and regulatory alignment. Deliver and embed core data management capabilities, including data governance, ownership, data quality, metadata, lineage and stewardship, while supporting organisational adoption through stakeholder engagement, change management and continuous improvement. Beyond client delivery, you will also: Contribute to Capco thought ...

across the full delivery lifecycle, from planning and mobilisation through implementation, testing, go-live and transition into BAU. Focus: Alation | Profisee | Data Governance | MDM | Metadata | Agile Delivery Your responsibilities will include: Owning delivery plans, roadmaps, milestones, dependencies, resources and release schedules for Alation and Profisee. Leading Agile delivery teams, including … delivery tracking. Acting as the key interface between business stakeholders, data governance, technology teams, vendors and implementation partners. Providing technical oversight across platform configuration, metadata onboarding, MDM deployment, integrations, testing and go-live. Running workshops, governance forums and steering meetings to drive decisions and remove blockers. Managing RAID, risks, issues ...

unlock new opportunities.About the RoleAs a Data Governance Coordinator, you will help ensure that data assets are managed effectively as products, with governance, quality, metadata, and standards consistently applied across the data estate. Acting as a key link between central data capabilities and Data Stewards, you will support the adoption … enterprise data governance standards and escalate where standards are not metEmbed governance requirements into delivery and change processesDrive the completeness, quality, and discoverability of metadata and catalogue informationMonitor data quality outcomes, identify gaps, and support prioritisation of issuesPromote transparency through the capture of data lineage and coordination across business, engineering ...

. Real experience building LLM/agent applications: retrieval (RAG), vector databases, and tool/function calling. A working understanding of data governance: cataloguing, metadata, lineage, and access control (RBAC/ABAC). An instinct for data quality and trustworthy “golden” sources. Will be a plus: Financial services/capital … queries that join across them. Select and implement the right query or analytical engine for each workload, rather than defaulting to one. Build catalogue, metadata, lineage and semantic layers that make data discoverable and consistently understood across teams. Implement access control that travels with the data: fusing sensitivity and licensing ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical and physical data models, metadata, business glossaries and data flows across the organisation. Partnering with Data Engineers, Analytics Engineers and senior technology stakeholders to deliver scalable solutions. Providing architectural assurance … analytical data models across complex environments. Azure Data Lakehouse and Medallion Architecture environments. Semantic layer design and curated data model development. Data governance, metadata management and architecture standards. THE BENEFITS: You will receive a salary of up to £90,000 depending on experience. HOW TO APPLY: Please register your interest ...

Assess existing DPC codebase, application architecture, and deployment artifacts to replace local components with enterprise services. Enterprise Integration: Design seamless integration connectivity with enterprise metadata, lineage services, IAM, ITSM, and Azure DevOps CI/CD pipelines. Delivery Leadership: Own the end-to-end delivery plan across design, build, integration … Infrastructure: Azure Cloud Architecture, Infrastructure as Code (Terraform), and API-based integration patterns. Data & Databases: PostgreSQL, Graph Databases ( Neo4j , Kuzu ), and data mesh/metadata management platforms. Modern Tech Stack: Next.js 14, FastAPI (Python), Casbin RBAC, Pipeline Orchestration, Apache Iceberg, MCP AI Server Integration, and ODCS v2 Data Contracts layer. ...

Escalate critical decisions and blockers appropriately and drive timely resolution. Technical Oversight Provide technical oversight of Alation and Profisee implementation activities. Support platform configuration, metadata onboarding, MDM deployment, integrations, testing and go-live planning. Ensure implementation follows appropriate architecture standards and best practices. Support operational readiness and transition into … vendors and senior stakeholders. Strong planning, estimation, reporting and risk management capabilities. Excellent communication, facilitation and stakeholder management skills. Strong understanding of: Data Governance Metadata Management Master Data Management (MDM) Data Quality Experience leading the rollout or implementation of data management platforms such as: Alation Profisee Collibra Informatica Microsoft Purview ...

Specifying Apache NiFi architecture patterns, flow standards and reusable ingestion components Designing REST API, SOAP, file-based, batch, legacy and bespoke integrations Defining governance, metadata, lineage, auditability and data quality requirements Producing High-Level Designs, design principles, Architecture Decision Records and assurance documentation Defining non-functional requirements covering security, performance … structured and unstructured data, including CSV, XML, JSON, Parquet and Avro Experience designing solutions across multiple security classifications Strong knowledge of data governance, lineage, metadata, data quality, access control and auditability Strong stakeholder engagement, documentation and technical leadership skills Experience of MOD secure data engineering across multiple classifications Experience with ...

LIMS, SDMS) to enhance scientific workflows.Partner with R&D scientists to translate experimental processes into structured, scalable digital solutions.Design and implement data models, templates, metadata structures, and workflows aligned with FAIR (Findable, Accessible, Interoperable, Reusable) data principles.Build and maintain integrations between lab platforms, analytics tools, automation systems, and cloud-based … optimizing laboratory informatics systems (e.g., ELN, LIMS, SDMS).Strong understanding of scientific workflows and experimental data lifecycle management.Experience with data modelling concepts and metadata standards; familiarity with FAIR data principles is highly desirable.Programming or scripting experience (e.g., Python, R, SQL) and experience integrating systems using APIs (REST, GraphQL).Strong communication ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance.You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … data integration, analytics, AI/ML and interoperability.Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices.Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals.Advising clients on product ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length bodies (e.g. … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

workflows).Standards & Best Practices: Stay current with emerging semantic web standards, tools, and best practices. Continuously improve the semantic architecture by adopting relevant metadata standards and ensuring alignment with industry best practices for ontologies and knowledge graphs. You will also contribute to establishing internal guidelines and best practices for semantic … ontology.Programming Skills: Proficiency in at least one programming or scripting language (such as Python, Java, or similar)Nice to haveMetadata Standards: Familiarity with metadata standards and vocabularies such as Dublin Core, schema.org, or other industry-specific ontologies/taxonomies. Experience applying these standards to annotate or integrate dataAI ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation’s governance strategy and operating model. Success in this role will be measured through demonstrable … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data Governance across ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured through demonstrable … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data Governance across ...

evolution of governance technologies and working in close partnership with the Principal Data Governance Engineer to ensure the technical implementation of governance platforms, metadata management, lineage, automation and data quality capabilities fully supports the organisation's governance strategy and operating model. Success in this role will be measured through demonstrable … objectives, regulatory obligations and risk appetite. Lead Governance Strategy and Policy, establishing enterprise-wide governance policies, standards and guidance covering data ownership, classification, quality, metadata, retention, lifecycle management and regulatory compliance, ensuring these remain aligned to business priorities and industry best practice. Drive Organisational Adoption by embedding Data Governance across ...

workshops, discovery activities, maturity assessments and stakeholder engagement to understand business needs, challenges and opportunities for improvement. Helping clients improve information governance, data quality, metadata, taxonomy and information architecture to maximise the value of information and data assets. Supporting the identification, structuring and management of information and data assets that … discovery activities and maturity assessments to understand business needs, current practices, challenges and opportunities for improvement. Can help establish practical approaches to information governance, metadata, taxonomy, information architecture and data quality that improve the value and usability of information assets. Can support the identification, structuring and governance of information ...

evolve Enterprise Data Management strategy, standards and best practices.Drive the adoption of robust Data Management capabilities across the organisation.Lead initiatives focused on Data Quality, Metadata Management, Data Lineage, Critical Data Elements, Reference and Master Data, and Data Lifecycle Management.Work closely with business and technology stakeholders to improve trust, consistency … influence change across a complex organisation.You'll bring:Significant experience within Enterprise Data Management, Data Governance or a related discipline.Strong knowledge of Data Quality, Metadata Management, Data Lineage, Reference Data, Master Data and Data Lifecycle Management.Experience operating within large, complex data environments.A strong understanding of Data Management frameworks, controls ...

Data Management strategy, standards and best practices. Drive the adoption of robust Data Management capabilities across the organisation. Lead initiatives focused on Data Quality, Metadata Management, Data Lineage, Critical Data Elements, Reference and Master Data, and Data Lifecycle Management. Work closely with business and technology stakeholders to improve trust, consistency … across a complex organisation. You'll bring: Significant experience within Enterprise Data Management, Data Governance or a related discipline. Strong knowledge of Data Quality, Metadata Management, Data Lineage, Reference Data, Master Data and Data Lifecycle Management. Experience operating within large, complex data environments. A strong understanding of Data Management frameworks ...