16 of 16 Metadata Jobs in Central London

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain expertise ...

advanced statistical techniques. Familiarity with AI-enhanced analytics tools such as Copilot, AI Foundry, or Fabric-based AI services. Understanding of data governance, metadata management, and data quality best practices. Experience with statistical modelling, forecasting, or machine learning techniques. Relevant Microsoft certifications (Power BI, Fabric, or Data Analyst Associate). ...

landing architecture Standardisation validation and data quality layers Master and reference data integration Analytical and dimensional modelling approaches Semantic layer and BI consumption patterns Metadata lineage observability and monitoring Architecture Leadership Act as architectural authority and design reviewer Produce architecture artefacts principles and standards Translate business strategy into scalable data ...

pipelines across operational and analytical layers, working heavily with SQL and Python-based orchestration. You’ll contribute to schema design, scalable data modelling, and metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning ...

such as Databricks, Snowflake, Azure Synapse, and BigQuery. Oversee data engineering with Apache Airflow, dbt, and Prefect, ensuring performance, governance, and alignment with enterprise metadata standards (Collibra, Alation, Microsoft Purview). Drive adoption of Delta Lake, Iceberg, and Hudi to support scalable data lakehouse architectures. Ensure high‐quality, compliant ...

ability to mentor squads and lead design forums. Preferred Skills Experience designing AI gateways , MCP (Model Context Protocol) implementations, and agent registries ; familiarity with metadata standards (DCAT/JSON‐LD). Exposure to enterprise AI platforms/labs and accelerators Knowledge of infrastructure automation in DC/cloud (orchestration, provisioning ...

essential, the following skills are desired by the client: Kafka/Kinesis, Airflow, CodePipeline. BI tools (Power BI/Tableau). Docker/OpenShift; metadata driven pipelines. 3-8+ years Data Engineering experience. Cloud data engineering and Snowflake/dbt hands on exposure. If you are interested in this ...

best practices Collaborate with product teams and solution architects to design integrated, end-to-end data flows Maintain enterprise data dictionaries, taxonomies, and metadata repositories Perform oversight and quality assurance on data architecture artefacts and reverse-engineered data structures Provide data architecture input into enterprise and solution architecture to ensure ...

Knowledge of data governance, access control, and platform standards Excellent communication and collaboration skills Familiarity with modern data architectures such as Medallion patterns and metadata tools This role will be hyrbid working - required to work 2 to 3 days per week onsite in London. Apply now to speak with VIQU ...

presentations, negotiations, and at industry events. Stay informed on emerging technologies and trends, including e-invoicing mandates, artificial intelligence, e-signatures, format conversion, and metadata enrichment Collaborate with UK and global teams to share best practices and support sales success About You You are an experienced Account Executive with ...

patterns. Quantify business impact and ROI to support prioritization and scaling decisions. 5) Governance, Risk & Compliance Alignment Ensure alignment with enterprise data governance, metadata, lineage and data quality standards. Embed regulatory and conduct-risk considerations (e.g., data privacy, auditability, model risk) into platform and solution design. Promote responsible … analytics pipelines. Solid understanding of AI/ML concepts, MLOps and integration of models into enterprise data platforms. Practical knowledge of data governance, metadata, lineage and data quality tooling in regulated environments. Demonstrated ability to translate architecture strategy into executable delivery patterns and influence senior stakeholders. Experience operating in Agile ...

Refine and expand AI use cases across generative, predictive, and automation workflows Define detailed business, functional, and field-level data requirements Map datasets and metadata to model needs (LLMs, embeddings, RAG, classifiers) Collaborate with Engineering on feasibility, integrations, and data flows Support agile ceremonies, backlog refinement, and sprint planning Identify ...

reinventing how ecommerce teams create and manage product content at enterprise scale Platform uses advanced AI agents to optimise product titles, descriptions and metadata across large catalogues Trusted by leading retailers including M&S, Argos and OnCloud to improve discoverability and performance across traditional search and emerging AI-led search ...

OpenBuildings Design, Bently Microstation, OpenRail Design. Understanding and experience following of CAD standards and schemas Understanding of spatial data transformations Understand document properties and metadata Ability to interpret client requirements for Asset information Ability to perform Quality Assurance checks according to the project and industry standards Ability to coordinate ...

cataloging of semantic models. Operational Governance: Design and operationalize access controls ( RBAC/ABAC ), sensitivity labels, and automated governance policies across various data products. Metadata & Quality: Build and manage metadata repositories, define data quality rules, and oversee automated lineage capture and classification workflows. Stakeholder Engagement: Act as a liaison between ...

Data Office in implementing Data Governance for the important business services and ensuring that the capture of all policies, procedures, standards, technical and logical metadata, data lineage, and governance is complete and represented in Collibra or Collibra Data Quality as required. Role Tasks: The Collibra Integration Engineer will work closely … data governance solutions using the Collibra DIP/CDQ platform. Understanding and analysing stakeholders' data governance needs and challenges. Enabling efficient data lineage and metadata management within the Collibra platform. Configuring and running EDGE and Lineage Harvester to access different datastores to generate physical and lineage assets. Having the ability ...