126 to 150 of 236 Metadata Management Jobs in the UK

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 … modern data platforms and architectural best practices, alongside an openness to AI-enabled engineering approaches where appropriate.Strong understanding of cloud migration, enterprise data management, governance, security frameworks and the architectural considerations required to support responsible AI adoption.Excellent communication and stakeholder management skills, with the ability to influence both ...

based technologies. Extensive expertise in Data Integration and Orchestration technologies including Azure Data Factory, Glue, APIs, MuleSoft, and Informatica. Proven experience with Data Governance, Metadata Management, Data Quality, Data Lineage, Master Data Management, and enterprise data catalogues. Strong knowledge of Generative AI, Agentic AI, Retrieval-Augmented Generation ...

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 ...

current and target‐state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management initiatives. Ensure … thought leader, mentoring architects, analysts, and data teams. Essential Skills & Experience Strong enterprise‐level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end‐to‐end data architectures across complex organisations. Strong Azure data platform experience, including ...

current and target-state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management initiatives. Ensure … thought leader, mentoring architects, analysts, and data teams. Essential Skills & Experience Strong enterprise-level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end-to-end data architectures across complex organisations. Strong Azure data platform experience, including ...

current and target-state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management initiatives. Ensure … thought leader, mentoring architects, analysts, and data teams. Essential Skills & Experience Strong enterprise-level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end-to-end data architectures across complex organisations. Strong Azure data platform experience, including ...

architectural solutions. Provide strategic oversight of data architecture, ensuring consistency across initiatives. Drive best practice in areas including: Data architecture Entity resolution Master Data Management (MDM) Data governance Data quality Metadata management Produce high-quality architecture artefacts, standards and design documentation. Provide architectural assurance and governance … architectures. Strong background in enterprise data modelling and architecture frameworks. Experience defining data architecture principles, standards and governance models. Demonstrable experience with: Master Data Management (MDM) Data Governance Entity Resolution Data Integration Data Quality Excellent stakeholder management skills with the ability to communicate effectively at senior leadership level. ...

Licensing & Operational Control Partner with governance, compliance, audit, commercial, and technology stakeholders to strengthen market data governance, data quality, lineage, observability, licensing compliance, entitlement management, redistribution controls, and operational risk management. Improve transparency of market data ownership, usage, consumption, and lifecycle controls across Shell Energy Trading. … Knowledge Enablement Build strong relationships with trading desks, Quants, Risk, Finance, Operations, Technology, Architecture, vendors, and governance teams. Lead through influence rather than line management, partnering with Technology teams, vendors, and a broader matrix of delivery and commercial stakeholders to execute against the strategy. Partner on subscription onboarding, commercial ...

Data team. In this role, you will support the development, delivery, and continuous improvement of data products that enable smarter planning, design, optimization, and management of the electricity transmission network across England and Wales.Working closely with the Data Product Manager, business stakeholders, engineers, architects, analysts, and development teams … SkillsData Product OwnershipProduct Backlog ManagementAgile/Scrum MethodologiesRequirements Gathering & AnalysisUser Story CreationStakeholder ManagementBusiness AnalysisData GovernanceData Quality ManagementData Lifecycle ManagementData Product Lifecycle ManagementSecondary SkillsData Lineage & Metadata ManagementMaster Data Management (MDM)API-Based Data ProductsData IntegrationPower BI/Data VisualizationProduct Roadmap DevelopmentUser Research & Product DiscoveryTest Coordination & User Acceptance TestingAnalytics & ReportingOperational ...

cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse. CI/CD, DevOps, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration ...

Business Intelligence group is a center of excellence at the Firm for data analytics, data management and data governance, with a focus on enhancing data and analytics literacy, reliability and accessibility, and developing an umbrella strategy for data and information governance throughout the Firm. The group is responsible … service delivery, led by Chief Innovation Officer Isabel Parker. The team integrates expertise in technology, data science, research, market intelligence, process excellence, and change management to build practice-relevant solutions. Within Practice Solutions sits the Practice Technology Transactions sub-function, which drives technology-enabled transformation across transactional practice areas ...

Amentum is a global leader in engineering, project and programme management, and solutions integration. Built on strong programme and engineering delivery experience, supported by deep specialist capabilities, Amentum is a recognised partner across major UK Government and commercial programmes. People are at the centre of what we do. … approaches (e.g. APIs, data pipelines, event‐driven architectures) to enable interoperability across Defence systems. Establish and support data governance frameworks, including data quality, metadata, lineage, and master data management practices. Contribute to AI/data governance principles, emerging technology assessments, and horizon scanning activities. Support the development ...

About Northern Trust As a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world's most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles … data catalogues, and lineage tooling Design and maintain semantic models to support agentic-AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data products Guide and control the creation ...

Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions … planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering ...

engagements are predominantly with organisations facing important transitions. Engagements are typically driven by business unit leaders, CDOs, COOs and other members of the senior management team. Client engagements may be as short as a few months, but can also evolve into multi-year, wide-ranging and transformative relationships. … data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business ...

teams, and stakeholders to enable self-serve analytics and consumption.Good to have• Experience in banking or financial services data platforms.• Familiarity with data governance, metadata management, and regulatory reportingPersonalBesides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include ...

data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout the development lifecycle, including metadata management, data quality, and lineage tracking.Distributed Computing: Knowledge of distributed computing techniques like parallel processing, streaming, and batch workflow orchestration.Connect to your business ...

About Northern TrustAs a global leader in innovative wealth management, asset servicing, asset management and banking services, Northern Trust (Nasdaq: NTRS) is proud to guide the world’s most successful individuals, families, corporations and institutions. Since 1889, we have aligned our efforts with our three guiding Principles That … business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide and control the creation of data ...

successful delivery of the Greyhound programme. To be successful as a Engineering Lead, you should have the following essential skills: Knowledge of data lineage, metadata management, and data governance frameworks. Experience with Business Intelligence and reporting platforms, including Power BI, Tableau, and Qlik. Validated experience working with modern … support reporting, analytics, and business decision-making. Some other highly valued skills may include: Ample expertise in data modelling, data architecture, and data quality management practices. Advanced proficiency in SQL and multi-faceted data modelling techniques. Experience designing and supporting ETL/ELT processes and end-to-end data ...

Controlled Vocabularies with Business Partners and the Chief Data Office.Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classification such as Data Concepts.Guides evaluation of current technology and leads evaluation of new technologies using existing standards … technical operations and processes.Serves as a function-wide subject matter expert in one or more areas of focus.Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models.Adds to team culture of diversity, opportunity, inclusion, and respect.Required qualifications, capabilities, and skillsHands-on practical experience ...

Engineer, Lead Data Engineer, or Senior Data Engineer within large-scale enterprise environments. Experience delivering complex cloud transformation and data modernisation programmes. Strong stakeholder management and communication skills. Ability to influence technical direction while remaining hands-on with delivery. Experience working across Architecture, Engineering, Product, and Business teams. Data … Experience working within regulated environments. Large-scale cloud transformation programmes. Agile delivery methodologies. Working alongside Data Product Owners and Data Architects. Data governance and metadata management frameworks. CI/CD, Infrastructure as Code (IaC), and DevOps practices within data environments. Skills & Attributes Excellent consultative and stakeholder management ...

. Ensure delivered data products meet business needs and acceptance criteria. Maintain Data Platform Standards Apply data governance, security and architecture standards. Support documentation, metadata management and lineage requirements. Contribute to platform performance, reliability and operational support. Drive Continuous Improvement and Innovation Identify opportunities to automate and optimise … Pipeline Development Data Quality, Monitoring & Production Support Stakeholder Engagement & Collaboration Independent Troubleshooting & Problem Solving Agile/Scrum Development Azure DevOps, CI/CD & Release Management Technical Documentation Technical Azure Databricks, PySpark, Python & SQL Azure Data Factory Azure Functions Azure Data Lake/Lakehouse REST APIs & Third-Party System Integration ...

delivery in three core areas which all work closely together: Data Architecture & Engineering – Focusing on next generation data solution architecture design and implementation Data Management & Strategy – Supporting our clients with Data Strategy, Data Governance Data and Analytics Target Operating Model Design and wider Data Office and CDO support functions … mentoring to data engineers and analysts across financial domains such as risk, trading, and compliance. Establish best practices for data governance , lineage, and metadata management within the Databricks environment. Translate business needs into robust data products that support real-time decision-making and predictive modeling. Lead performance tuning ...

beneficial A good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architectures Expopsure to data governance frameworks, metadata management, and regulatory complianc It would be a bonus if you have: Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real ...

beneficialA good understanding of modern data engineering patterns including ETL/ELT, data lakes, lakehouse, and warehousing architecturesExpopsure to data governance frameworks, metadata management, and regulatory compliancIt would be a bonus if you have:Familiarity with emerging technologies such as Apache Iceberg, Delta Lake, real-time/streaming ...