26 to 50 of 389 Metadata Jobs in London

Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across ...

Data Factory, Azure Data Lake and Power BI. Design scalable data lake, lakehouse, data warehouse and data integration solutions. Establish data governance, security, quality, metadata and lineage using Microsoft Purview. Provide architecture leadership for Data & AI, analytics and Generative AI initiatives. Lead architecture reviews, technology selection and technical assurance across ...

Code. Experience applying Snowflake capabilities to data engineering, analytics and, where relevant, machine learning and AI workloads. Experience establishing enterprise governance capabilities such as metadata management, lineage, data quality controls and access controls. Experience with production-grade orchestration, monitoring, observability, performance optimisation and cost-aware platform design. Connect to your ...

analytics output. Embed AI‐enabled ways of working across the data function (for example automated data quality monitoring, AI‐assisted development and testing, metadata and documentation generation, and natural‐language access to insight). Partner with business areas to identify, prioritise and deliver high‐value AI use cases across ...

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. As a lead, you will contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. You will also play a role ...

solutions, documenting them as GAPs and aligning them with Architects Data Governance & DiscoveryFacilitate data discovery and enhance data management processes using platforms like Open Metadata Ensure KPIs and documentation remain accurate and up to date Support data quality and compliance standards across the organization Innovation & OperationsInitiate and experiment with ...

financial services experience.Knowledge of pricing, underwriting, delegated authority, bordereaux, and exposure data.Experience with data lakes, lakehouses, warehouses and Microsoft Fabric capabilities.Familiarity with data governance, metadata management and data quality frameworks.Experience working within Agile or multidisciplinary delivery teams.What is in it for you:Be part of the fastest-growing AI-first ...

Knowledge of pricing, underwriting, delegated authority, bordereaux, and exposure data. Experience with data lakes, lakehouses, warehouses and Microsoft Fabric capabilities. Familiarity with data governance, metadata management and data quality frameworks. Experience working within Agile or multidisciplinary delivery teams. What is in it for you Be part of the fastest-growing ...

Data Office, Data & Analytics, Reporting, Information Management or Business Intelligence function.Exposure to enterprise data management principles, including data governance, data quality, data stewardship and metadata management.Experience working with business intelligence and data visualisation tools such as Power BI, Tableau or similar platforms.Exposure to SQL, cloud data platforms, data warehouses ...

evolve enterprise‐scale data architectures supporting analytics, AI, and digital use cases. Deep expertise in data architecture principles, including data modelling, integration patterns, metadata, and information lifecycle management. Strong hands‐on experience with cloud‐based data platforms (Azure preferred or equivalent), including data lakes, data warehousing, and analytics platforms. Demonstrated ...

checks, lineage, cataloguing and data observability into every pipeline and data product from the start, rather than adding them after delivery. Implement data contracts, metadata and certification standards so each data product is discoverable, trusted and auditable. Apply security and compliance by design, including role-based access control, secrets management ...

Data Vault modelling where they suit the client’s needs. Create and maintain conceptual, logical and physical data models, with corresponding metadata, that translate business needs into long‐term solutions. Cover core insurance domains such as policy, premium, claims, exposure, reinsurance and finance. Design gold‐layer (consumption) models and, where … data estate (e.g. Databricks, ADLS Gen2, Azure Data Factory, Event Hubs), and document the rationale and trade‐offs. Design and oversee the building of metadata‐driven data ingestion frameworks on Databricks (e.g. Auto Loader, Lakeflow Declarative Pipelines, Workflows), using configuration rather than bespoke code to onboard new sources, handle schema ...

conceptual, logical, and physical data modelling Ability to define canonical, domain, shared, reference, and analytical data models Good understanding of data governance, data quality, metadata, lineage, traceability, and auditability Experience shaping data strategy and translating it into practical roadmaps aligned to business outcomes Knowledge of data migration strategy, including source ...

Apply security, governance and access controls appropriate to an SC environment RAG and retrieval Build ingestion for unstructured content, including document parsing, OCR and metadata enrichment Build production RAG pipelines: chunking, embeddings, hybrid search (vector + BM25), reranking and context assembly Enforce document-level access controls at query time Evaluate ...

Python and SQL to ingest and transform commodities data from multiple vendor and internal sources. Build and maintain standardized data models, schemas, and metadata that make commodities datasets easy to understand, discover, and reuse. Schedule, monitor, and manage data pipelines using Airflow or similar workflow orchestration tools to ensure reliable ...

READ codes. Experience with Databricks. Experience with Kubernetes. Experience using Dagster or other workflow orchestration platforms. SQL and data modelling experience. Understanding of metadata management and data governance frameworks. Many Data Engineering roles focus primarily on building pipelines. This role is different. Here, the greatest challenge is ensuring that every ...

Automation Define architecture patterns, governance standards, security controls, and best practices for enterprise AI adoption. Apply GenAI capabilities to areas such as data transformation, metadata management, customer service, risk, compliance, operations, and process automation. Collaborate with engineering, data, cloud, and business teams to ensure successful delivery and adoption. Drive solution ...

producing, documenting, maintaining and updating data models for analytical and organisational needs, including reverse engineering models from live systems where required. Experience working with metadata repositories to support activities such as data and systems integration, impact analysis and the maintenance of accurate and up-to-date metadata. Knowledge and practical ...

experience producing, documenting, maintaining and updating data models for analytical and organisational needs, including reverse engineering models from live systems where required.Experience working with metadata repositories to support activities such as data and systems integration, impact analysis and the maintenance of accurate and up-to-date metadata.Knowledge and practical experience ...

Powerpoint presentations, Word documents and unstructured Excel spreadsheets. Build an AI-Ready document infrastructure that can classify documents, handle versioning, track provenance, and manage metadata, auditability and permissioning. Implement frameworks for strictest confidentiality and privacy protections, including access controls and security roles, consent tracking, data retention and data deletion management. ...

changes follow validation and change-control requirements. Work with R&D and central ontology/knowledge-graph teams to implement and operate data and metadata structures (for example applying agreed ontologies, reference data and mappings) so digital product profile data can be linked and reused across platforms, without owning ...

data storage solutions across cloud and on-prem environments Apply DataOps/software engineering best practices for deployment and reliability Ensure strong data governance, metadata management and security controls What theyre looking for Strong experience in Data Engineering (not just analysis) Hands-on with: Python, SQL, ETL/data pipeline ...

skills. Experience providing technical leadership or mentoring. Desirable: Experience with Unity Catalog, dbt or similar transformation frameworks. Knowledge of Delta Lake, data governance and metadata management. Experience with CI/CD and automated testing. ...

ensuring alignment with the overall business strategy and objectives. Develop and maintain the data architecture for the security master system (secmaster), including data models, metadata, and data flow diagrams. Team Leadership: Lead and manage the secmaster team of python/sql engineers, providing guidance, mentorship, and support to team members. ...

across cloud-based and on-premises environments. Apply software engineering and DataOps principles to improve deployment, automation, monitoring and reliability. Support data quality, governance, metadata management and security requirements. Collaborate with technical teams and stakeholders to deliver robust data solutions that meet business and operational needs. What Were Looking ...