1 to 25 of 555 Metadata Jobs in London

future scalability.Experience assessing data quality across source systems and defining practical remediation approaches, including profiling, rule definition, issue management and ownership.Strong understanding of metadata management, including business metadata, technical metadata, operational metadata, lineage, cataloguing, enterprise metadata models and integration with wider data governance.Ability to map dependencies across technology, process, people … roadmap development and production of client-facing deliverables.DesirableExperience working with UK public sector organisations or similarly complex, regulated environments.Experience delivering MDM, data governance or metadata management work within central government, healthcare, housing, education, policing, defence or wider public services.Experience with Microsoft Fabric and its interaction with Purview, OneLake, Power ...

high-performance data models, ingestion frameworks, and transformation pipelines supporting both real-time and batch processing workloadsEstablish best practices for data governance, lineage, security, metadata management, and platform observabilityBuild and optimise analytical platforms capable of processing large-scale market, transaction, and reference datasetsWork closely with quantitative researchers, product teams ...

operational stakeholders to turn ambiguous business issues into clear data analysis, engineering actions and controlled tactical fixes. Understanding of data ownership, stewardship, lineage, metadata, controls and data quality monitoring, with the ability to produce documentation that can be reused as part of an enduring data governance model. Experience implementing ...

environment separation (dev/test/prod), naming standards, and guardrails that enable secure self-service while maintaining control and consistency.* Support governance and metadata management: Implement data discovery, classification, lineage, and stewardship practices using AWS Glue Data Catalog, AWS Lake* Formation, and aligned standards for trusted, auditable data products. ...

with the ability to design innovative solutions to complex data challenges. Data Modelling (Conceptual, Logical, Physical), Data Warehousing, Data Lakes, Data Mesh, Data Governance, Metadata Management, Master Data Management. Skilled in leading the lifecycle of production-grade data products, from conceptual modelling to deployment and continuous optimization Familiarity with ...

lakehouses, data virtualisation and distributed data architectures.Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind.Embed data governance, data quality, metadata management and security principles into solution designs.Work with both structured and unstructured data across a range of technologies and platforms.Collaborate with engineering, analytics, data science ...

virtualisation and distributed data architectures. Ensure data platforms are designed with scalability, reliability, performance, security and maintainability in mind. Embed data governance, data quality, metadata management and security principles into solution designs. Work with both structured and unstructured data across a range of technologies and platforms. Collaborate with engineering, analytics ...

platforms. Experience working with Microsoft Fabric, Azure Data Services, SQL, Power BI, or equivalent modern data platforms. Strong understanding of data modelling, database design, metadata management, and data architecture principles. Experience implementing data quality, governance, and assurance practices. Experience supporting reporting, analytics, and business intelligence solutions. Understanding of information security ...

Familiarity with Agile delivery and DevOps practices (Azure DevOps, JIRA, etc.). Preferred Skills & Experience: Knowledge of EDM (Enterprise Data Management) practices, data governance, metadata management, and lineage tools. Exposure to multi-cloud environments ( AWS or GCP ). Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real ...

analytics and visualisation tooling. Strong SQL and data analysis capabilities. Data platform migration or modernisation programmes. Business requirements gathering and workshop facilitation. Data governance, metadata management and data quality initiatives. Leading technical workstreams or managing delivery teams. Working within highly regulated or public sector environments. Experience with technologies such ...

Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake.Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra.Data Modelling ...

Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls – Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data ...

providing ongoing technical direction.Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions.Define data models, data flows, metadata standards, and integration patterns.Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale.Ensure data security, privacy, compliance, and risk management ...

technical direction Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions Define data models, data flows, metadata standards, and integration patterns Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale Ensure data security, privacy, compliance, and risk ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency.Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles.Act as a trusted advisor to clients, translating complex technical concepts into ...

leveraging modern automation and approved AI-assisted engineering tools where appropriate to improve delivery quality and efficiency. Drive the integration of data governance, metadata management, cataloguing, privacy and security capabilities, ensuring solutions align with regulatory requirements and responsible AI principles. Act as a trusted advisor to clients, translating complex technical ...

Data ManagementExperience designing within structured architectural governance frameworks. Familiarity with government assurance processes and design authorities. Strong understanding of data governance frameworks and metadata management. Experience designing for GDPR and UK public sector data protection requirements. Appreciation of infrastructure considerations and security boundaries in regulated cloud environments. Stakeholder EngagementAbility ...

required.Governance, Security and Data ManagementExperience designing within structured architectural governance frameworks.Familiarity with government assurance processes and design authorities.Strong understanding of data governance frameworks and metadata management.Experience designing for GDPR and UK public sector data protection requirements.Appreciation of infrastructure considerations and security boundaries in regulated cloud environments.Stakeholder EngagementAbility to influence architectural ...

technical direction. Collaborate with stakeholders across business, product, and IT to gain buy-in and drive data-driven decisions. Define data models, data flows, metadata standards, and integration patterns. Contribute to data engineering, automation, and infrastructure-as-code practices for delivery at scale. Ensure data security, privacy, compliance, and risk ...

/or Spark. Deep experience with Azure data services. AWS experience is advantageous as the platform expands. Experience with governance, cataloguing, lineage, quality, metadata, access control and secure multi-tenant or customer-data environments. Credibility with hands-on engineers and senior stakeholders, with strong judgement across speed, scale, governance, cost ...

cloud-native orchestration services Event streaming:Kafka and cloud-native event-streaming technologies Data modelling:Dimensional,analyticaland domain-oriented modelling Data governance:Catalogue, metadata, lineage, quality, security,privacyand access controls Data products:Reusable, discoverable and well-governed dataproductsand marketplaces DataOpsand observability:Testing, monitoring, operationalcontrolsand platform reliability Platform engineering:Terraform, CloudFormation ...

clients address their biggest data challenges, focusing on establishing robust data governance frameworks, improving data quality, managing data migrations, and implementing effective master and metadata management strategies.Our projects vary greatly and your responsibility will differ based on your level, experience and the focus of the client engagement, but could include ...

/or Spark. Deep experience with Azure data services. AWS experience is advantageous as the platform expands. Experience with governance, cataloguing, lineage, quality, metadata, access control and secure multi-tenant or customer-data environments. Credibility with hands-on engineers and senior stakeholders, with strong judgement across speed, scale, governance, cost ...

defining integration patterns across core WAM platforms. Establish robust data quality, reconciliation and control frameworks, alongside master and reference data strategies aligned to governance, metadata, privacy and stewardship, with appropriate audit trails, review and escalation pathways for AI-enabled processes. Act as a subject matter expert, translating complex technical concepts ...