76 to 100 of 207 Metadata Jobs in the UK

tools, patterns, and technologies where they genuinely add value - balancing innovation with pragmatism Build robust, production-grade solutions , not proofs of concept Treat metadata, lineage, and data quality as first-class engineering problems Diagnose and resolve complex data and platform issues, often in constrained or imperfect environments Contribute ...

data assets by improving existing datasets, uncovering new sources of valuable data, and increasing accessibility and usability across the business.* Drive the development of metadata, documentation, taxonomies, schemas, and standards that improve discoverability, governance, interoperability, and AI readiness.* Act as a strategic advisor to Markets leadership on data-related opportunities ...

vendors. Working knowledge of consent management platforms and frameworks such as TCF; ability to validate consent signals on analytics and advertising tech. Understanding of metadata, lineage, data classification and governance standards such as schema design, data standards and classification. Working knowledge of GDPR, CCPA and modern privacy principles, with ...

Skills To be successful as an Enterprise Data Platforms (EDP) Data Modeler, you should have experience with: Conceptual, logical and physical enterprise data modelling Metadata management toolsets, e.g. ER Studio, Erwin or equivalent Awareness of Finance Data Classes, inc. awareness of key data concepts for financial asset classes Other Highly ...

keeping TechDocs accurate* Work with data engineering and ML engineering teams to onboard their services and pipelines into the catalog, ensuring ownership and metadata are correctly represented* Use AI-assisted engineering tools - including Claude Code - as part of your daily workflow for infrastructure authoring, code review, and documentation* Share effective ...

building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context ...

best practices for data governance, ensuring high data quality, integrity, and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds ...

Principal Information Architect (Executive Director) at JPMorganChase and become a promoting force behind the development and adoption of cutting‐edge, cloud‐based technologies. Make metadata real, usable, and impactful in modern engineering. In this role, you will sit at the intersection of Information Architecture and Software Engineering—building models, languages … will have room to grow your craft, deepen your technical breadth, and influence standards across a large, complex environment. As a Principal Information Architect, Metadata at JPMorganChase within the Commercial & Investment Bank, you will connect enterprise modeling and metadata practices to real software engineering assets and workflows. You will develop ...

specific data needs. Proven track record in creating and executing strategic roadmaps and implementation plans. Hands-on experience with data governance, quality management, metadata, lineage, and master/reference data strategies, including compliance. Proficiency in using data management platforms such as Purview, Collibra, and Informatica. Experience with cloud-based data ...

objectives. Team Overview The Common Tooling Platform Data Services team develops and maintains microservices that handle the fetching, enriching, consolidating, and distribution of network metadata to customers. The team also creates an event‐based inventory system to facilitate communication across the network ecosystem, ensuring efficient management and accessibility of network ...

only operating an established model. Strong practical knowledge of data governance and data management principles, including data ownership, stewardship, critical data elements, data quality, metadata, lineage, controls and governance by design. Hands on experience selecting, implementing or operationalising enterprise data governance tooling, preferably Microsoft Purview, with exposure to tools such ...

leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI‐powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with ...

only operating an established model. Strong practical knowledge of data governance and data management principles, including data ownership, stewardship, critical data elements, data quality, metadata, lineage, controls and governance by design. Hands on experience selecting, implementing or operationalising enterprise data governance tooling, preferably Microsoft Purview, with exposure to tools such ...

Validate monitoring coverage prior to each migration wave. Logging & Trace Management Review and standardise centralised logging across all migrated environments. Ensure consistent log formats, metadata, correlation IDs, and traceability across systems. Validate log ingestion, retention policies, indexing, and search performance. Ensure operational teams can rapidly investigate incidents using correlated logs ...

Validate monitoring coverage prior to each migration wave. Logging & Trace Management Review and standardise centralised logging across all migrated environments. Ensure consistent log formats, metadata, correlation IDs, and traceability across systems. Validate log ingestion, retention policies, indexing, and search performance. Ensure operational teams can rapidly investigate incidents using correlated logs ...

requirements enabling operational readiness and maintainable asset records.Develop asset information models aligned to:Structured asset data deliverables (e.g. COBie)Digital twin readiness and operational metadata standardsDefine integration strategy between design environments and operational systems, including but not limited to:ACC/FORMA (or other similar CDE systems)DCIM, BMS, CMMSGIS ...

hiring an ML Engineer to lead its evolution into an increasingly personalized, continuously improving system driven by real‐time product behavior, content metadata, customer context, and experimentation. This is an applied product data science role. You will personally build, deploy, and operate recommendation models, design experiments, establish evaluation methodology ...

contractual obligations. Governance and Compliance; Ensure data architecture complies with internal governance policies and external regulations (e.g., GDPR). Support data stewardship and metadata management initiatives. Platform governance and activation of Purview capabilities will support data standards. Performance and Optimization; Monitor and optimize data architecture for performance, cost-efficiency … governance, public-cloud platforms (Azure, AWS, GCP) , SQL Server, data integration with third-party systems, ideally Microsoft Fabric Experience with data modelling and metadata management Experience in developing common data models for core business concepts Experience of CRM system migration or implementation would be beneficial Relevant degree or post-graduate ...

aligned to EU AI Act, GDPR, and global regulations Oversee model risk management, AI lifecycle governance, and third‐party AI usage Drive data quality, metadata management, and lineage transparency Partner with architecture, cybersecurity, and business teams to embed governance‐by‐design Enable self‐servicedata and AI across domains Experience & Skills ...

based governance practices, including ownership and stewardship models Proven track record building TOMs, data policies, metrics, and maturity assessment frameworks Hands-on experience with metadata management, data lineage mapping, and data cataloguing tools — Microsoft Purview, Informatica, or Collibra Strong understanding of data security frameworks and regulatory compliance (GDPR) Solid grounding ...

Layout - naming standards, key consistency, suffix standards, data set layering etc Looker Semantic Layer - user view definitions, dimensions grouping, aggregation definitions, hidden join management MetaData and Documentation - Looker and BQ field description standards Schema Design standards - flattened views, deterministic types, order consistency, semantic description, enum constraints etc Partitioning and clustering ...

Strong knowledge of: Cloud-native data platforms (e.g., lakehouse, warehouse, streaming systems) Modelling approaches (medallion, dimensional, event-driven, semantic layers) Data governance frameworks and metadata tooling Data lineage, cataloguing, discovery, and documentation Data quality and observability tooling Data access/security patterns Skilled in standardisationcreating reusable data frameworks, templates, modules. ...

Experience partnering effectively with Information Security and translating policy into working configuration. Clear written and verbal communication. Desirable Exposure to data quality frameworks and metadata-driven governance. Relevant certifications (e.g. Microsoft DP-700/SC-400/SC-300, or equivalent governance/security credentials). Please note that ...

including QA and UAT phases Coaching team members and ensuring governance and quality controls are consistently followed DevOps & Release Management Hands-on experience with metadata deployments Experience using Gearset and GitHub for release automation, deployment management and version control Why Apply? This is an excellent opportunity to join a growing ...

leadership background in distributed systems and platform engineering Deep experience with data platform engineering at scale, including ingestion and integration patterns, data quality enforcement, metadata and lineage, and secure access controls Experience enabling AI-powered systems in production, including evaluation, monitoring, observability, auditability, and guardrails Strong ability to partner with ...