76 to 100 of 200 Metadata Jobs in the UK

diverse systems, including legacy and modern platforms - Build production-grade data solutions using strong software and data engineering practices - Improve data quality, lineage and metadata as first-class engineering concerns - Diagnose and resolve complex data and platform issues in constrained environments - Provide technical leadership and raise standards through example ...

management, decommission and archive of data in compliance with data policy provide input into data dictionaries define and maintain the data technology architecture, including metadata, integration and business intelligence or data warehouse architecture Key Tasks Review and analyse the source data (Digital Media and Communications Data), and work with ...

other highly regulated environments. Knowledge of Trusted Research Environments (TREs), Secure Data Environments (SDEs), or similar secure data platforms. Experience with data governance, metadata services, data catalogues, or secure data access models. Exposure to event-driven architectures and streaming technologies such as Kafka, Flink, or Spark Streaming. Experience evaluating ...

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 ...

decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning ...

methodologies\n Preferred Qualifications, Capabilities, and Skills: \n \n Experience with index innovation strategies in Asset & Wealth Management \nFamiliarity with data catalog tools and metadata managementExposure to AI-accelerated product development processesExperience supporting business and commercial strategies with data insightsUnderstanding of regulatory requirements related to financial dataAbility to promote ...

Experience Proven experience standing up or scaling a data product centre of excellence or similar capability in a global enterprise. Hands‐on familiarity with metadata management, lineage, observability and data quality platforms, and their integration into developer workflows. Experience with data architectures dedicated to specific areas and interoperability standards, enabling ...

stream monitoring alerts and security events into their existing security operations workflows Data Systems Implement efficient storage solutions for both structured data (monitoring results, metadata) and unstructured data (agent logs, code outputs) Build data processing systems that can handle everything from streaming real-time monitoring to batch analysis of historical ...

Data Ownership and Data Stewardship frameworks across the business Work closely with Data, Technology and Analytics teams on wider Data Governance initiatives Develop strong Metadata Management and improve visibility across enterprise data assets Support wider Data Governance strategy and long-term business transformation projects Manage a team and help build ...

cases. \n Store parsed and chunked content in a vector database and manage embeddings effectively. \n Implement and optimize retrieval pipelines, including chunking, indexing, metadata tagging, filtering, and reranking. \n Build workflows to interact with relational and enterprise databases for querying and enrichment. \n Ensure the application follows strong evaluation ...

cases. Store parsed and chunked content in a vector database and manage embeddings effectively. Implement and optimize retrieval pipelines, including chunking, indexing, metadata tagging, filtering, and reranking. Build workflows to interact with relational and enterprise databases for querying and enrichment. Ensure the application follows strong evaluation practices, including accuracy, groundedness ...

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 ...

across architecture, development and business teams Experience mentoring and developing junior technical team members DevOps & Release Management You’ll have practical experience with: Salesforce metadata deployment processes Release management and environment strategies Version control and deployment automation Gearset and GitHub Certifications The ideal candidate will hold, or be working towards ...

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 ...

designing and implementing Retrieval‐Augmented Generation (RAG) systems**, including vector databases (pgvector, Pinecone, Weaviate, FAISS, etc.) and advanced retrieval strategies (hybrid search, re‐ranking, metadata filtering)* **Strong understanding of prompt engineering, workflow design, and Gen‐AI optimization**, balancing latency, cost, quality, and accuracy trade‐offs in production systems* **Solid grounding ...

records management standards (retention policies, audit, compliance) Integration with enterprise systems (e.g. SAP, CRM, finance platforms) Automation of document ingestion and classification (OCR, metadata tagging) Reporting and audit capabilities within document management systems Experience integrating with enterprise services (Active Directory, identity platforms) Exposure to DevOps/CI-CD practices Experience ...

ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data ...

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 ...

Design and assess end-to-end solution architectures for enterprise-scale platforms, including data modeling, meta-modeling, master and reference data management, data quality, metadata management, data taxonomy, data integration, and data migration. \n \n Apply AI tools and techniques to improve Solution Architecture practices - including accelerating requirements analysis, pattern … treatment of data as a technology asset. \n \n Knowledge of core Solution Architecture capabilities: Master and Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling. \n \n Demonstrated proficiency in AI, machine learning, or related techniques as applied to architecture or software ...

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. ...

driven approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles ...

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). #connellsgroup CF00856 ...

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 ...

maintain logical and physical data models aligned with the data roadmap and architectural principlesDefine and maintain source‐to‐target mappings, transformations, calculations, and metadata in line with design standardsCollaborate with Data Engineers and Quality Engineers to support development, testing, and delivery, while providing guidance to junior team members and supporting ...