51 to 75 of 389 Metadata Jobs in London

Ensure architecture supports UK GDPR, data minimisation, DPIAs, data-sharing requirements, information governance and wider public sector obligations Enhance Microsoft Purview integration for cataloguing, metadata, lineage, ownership, classification and discoverability; define accountability for domains, workspaces, data products and semantic models Review capacity, performance and consumption, recommending workload protection, monitoring, cost ...

data-capture (CDC) using streaming tech (such as Pub/Sub, Dataflow, or Kafka). Governance and SDLC engineering: Practical experience building data governance, metadata lineage, quality checks, access control, and privacy directly into platform architecture, supported by CI/CD, Git workflows, and Infrastructure as Code (Terraform). ...

data architecture transformation Experience with business capability models, process taxonomies and maturity assessments Experience designing or governing data platform architectures , including data quality, metadata, security, privacy and compliance Understanding of public and private cloud architectures Experience with hyperscale and enterprise platforms (e.g. SAP, Workday, Oracle, Salesforce, public cloud providers) Experience ...

physics, statistics, or a related field or equivalent experience Technical Skills: Strong knowledge of distributed data processing (Spark, PySpark, SQL) Expertise in data governance, metadata management, lineage, and data modeling Experience with AI/ML platforms and AI‐driven architecture Proven ability to define, implement, and enforce enterprise‐wide data ...

platform architectures.* Deep knowledge of ETL/ELT, APIs, integration patterns, data pipelines, and event-based integration.* Understanding of master data management, data governance, metadata, lineage, and data quality.* Understanding of security, privacy, compliance, and data integrity requirements.* Ability to evaluate complex business requirements and develop pragmatic, scalable technical solutions. ...

Define Data Ownership, Data Stewardship, RACI and decision rights. Establish governance forums, councils and escalation mechanisms. Define and implement governance processes covering: Data Quality Metadata Management Business Glossary Data Classification Data Ownership & Stewardship Data Controls Master & Reference Data Define governance KPIs and maturity measures. Drive adoption of governance practices across ...

quality and enrichment, focusing on the most critical data first and tracking the tangible ‘value‐add’ with data consumers. Ensure Compliance & Transparency: Maintain complete metadata, data descriptions, and lineage while ensuring data is correctly classified, protected, and compliant with GDPR and internal security protocols. Manage Risk & Alignment: Engage with stakeholders ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have Experience with Informatica ...

Lakehouse architecture . Experience with Golden Records, common IDs, entity resolution, deduplication, and data quality . Good understanding of Unity Catalog, data governance, metadata, and lineage . Experience integrating data from multiple enterprise platforms. Knowledge of Medallion Architecture and data privacy/anonymization. Good to Have Experience with Informatica ...

including interfaces, APIs, data synchronisation, failure handling and reconciliation. Strong understanding of legal-sector data domains including client and matter records, workspace and document metadata, conflicts and intake, time capture, billing and WIP. Understanding of how these data domains interact and flow between Document Management, Practice Management, Finance and Risk ...

including interfaces, APIs, data synchronisation, failure handling and reconciliation. Strong understanding of legal-sector data domains including client and matter records, workspace and document metadata, conflicts and intake, time capture, billing and WIP. Understanding of how these data domains interact and flow between Document Management, Practice Management, Finance and Risk ...

implement an enterprise-wide data governance strategy, establishing data policies and defining roles that owners play. This lead will manage data ownership, data stewardship, metadata, and stakeholder engagement, acting as a bridge between business and technology teams. You will ensure data quality and integrity by establishing metrics, resolving inconsistencies ...

data and tools meet the agreed need.**Platform Enablement & Adoption*** Support the selection, evaluation and delivery of new data capabilities (e.g. Data Quality, Catalogue, Metadata, MDM, Observability tools).* Drive adoption of new tools through clear documentation, training and feedback loops, ensuring capabilities are embedded in day-to-day use. ...

time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership ...

ownership and stewardship structures.Facilitate governance councils and working groups to resolve data definition, ownership, quality, and prioritization matters.Develop and maintain business glossaries, data dictionaries, metadata standards, critical data element definitions, and supporting documentation.Oversee data quality governance, including issue identification, prioritization, escalation, and coordinated remediation with business and technology teams.Promote practical ...

understanding of Canonical, Semantic and relational Data Modelling techniques within an enterprise architecture context. Led the definition and establishment of data standards, business definitions, metadata, master data and business glossaries. Knowledge of source-to-target mappings, reference data management and data governance principles. Proficiency with SQL, database technologies and data ...

time to value. Co-build and hand off. Work alongside customer technical teams and partners through pairing, code reviews, and configuration reviews. Package reusable metadata, scripts, queries, tests, and runbooks so the solution can be reproduced and supported. Support deployment, validation, production handoff, and early stabilization, leaving clear ownership ...

technical debt across the data ecosystem. Own the Data as a Product Community of Practice and the standards that bind every Data Product: metadata and data contract specifications, output port and schema design, data product versioning, DQ requirements, SLA and SLO declarations, and semantic layer conventions Champion data quality, lineage ...

products that are discoverable, versioned, self-describing, and aligned with data mesh and product-centric principles Establish best practices for product design, schema management, metadata standards, lineage, and lifecycle governance Ensure data products are optimized for performance, scalability, reliability, and cost efficiency Promote consistency across product domains while enabling autonomy … Technical Leadership & Standards Serve as a senior technical authority for data product architecture across the program Define architectural best practices for Delta Lake design, metadata management, product lifecycle governance, and data quality controls Provide architecture assurance and design reviews for data products developed by internal and third-party teams Guide ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

minimal redundancy. Partner with application development, architecture and business teams to define data strategies, data flows and source-to-target mappings. Develop and maintain metadata, data dictionaries and documentation to support enterprise data governance. Optimise and enhance existing data models to support new business initiatives and improve performance. Define … Experience working with relational databases and modern NoSQL platforms. Knowledge of ETL processes, data integration and data transformation techniques. Experience defining enterprise data standards, metadata management and naming conventions. Experience documenting data architecture, business rules, data dictionaries and technical specifications. Familiarity with UML and business process modelling techniques. Experience facilitating ...

Azure Strong Python development skills for data engineering Azure Data Factory, Azure SQL and Data Lake technologies Data architecture and layered data platform design Metadata-led ingestion and reusable ETL frameworks CI/CD, source control and DataOps best practices Data security, governance and compliance-focused delivery Advanced ...

platform engineering and optimisation. * Extensive experience building dbt projects from the ground up. * Strong SQL and data warehousing expertise. * Experience designing CDC, ELT and metadata-driven ingestion frameworks. * Solid understanding of CI/CD, Git and infrastructure as code practices. * Python development experience for data engineering and automation. * Experience leading ...

cloud-based data platforms such as AWS and Databricks. Experience with Power BI reporting and operational MI. Understanding of data governance, lineage and metadata management principles. ...

insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience. Experience with data mesh, domain-oriented data products, common data models, data contracts, metadata, and data governance. Experience industrialising analytical prototypes with data-engineering and architecture teams. Experience integrating generative AI or machine learning into business products. Familiarity with ...