1 to 25 of 28 Remote/Hybrid Metadata Management Jobs in the UK excluding London

link to reserve your virtual seat. Highly recommend attending! About role DVSA are looking for a Senior Data Architect to join their growing Data Management team, helping to improve how data is captured, managed, governed and used across the agency. This is a varied role where you will support … delivery of DVSA's data strategy, working across areas such as data governance, data quality, data maturity, metadata management, data standards and data modelling. You will act as a point of contact for a key service area, building strong relationships with stakeholders across the business and helping teams ...

link to reserve your virtual seat. Highly recommend attending! About role DVSA are looking for a Senior Data Architect to join their growing Data Management team, helping to improve how data is captured, managed, governed and used across the agency. This is a varied role where you will support … delivery of DVSA's data strategy, working across areas such as data governance, data quality, data maturity, metadata management, data standards and data modelling. You will act as a point of contact for a key service area, building strong relationships with stakeholders across the business and helping teams ...

Title : Data Governance Analyst – Metadata Target Start Date: ASAP Contract Type: Permanent, Full Time, Salary Range: CompetitiveEastleigh, Hybrid working with travel to Ageas offices when required. Closing Date for applications: Friday 3rd July Data Governance Analyst – Metadata: At Ageas, we are continuing to build a strong data-driven … culture, and we are looking for a Data Governance Analyst – Metadata to join our growing Data Governance team. This role sits within our metadata pillar, where you will help deliver and evolve metadata services that enable trusted, well-managed and discoverable data and AI products across ...

Data Trust Capability in Capgemini’s Insights and Data (I&D) business unit. Insights and Data is a global business unit covering Enterprise Data Management, Cloud Platforms, Enterprise Content Management and AI & Analytics. Our team is one of the largest and most successful Data Management teams … delivering innovative Data Management and Governance thought leadership to our clients. The Enterprise Data Management provides services on Information Strategy, Data Governance, Master Data Management, Data Architecture, Data Migration and Lifecycle Management. We help our clients build an enterprise-class data platform that allows them to move ...

architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics, security and business functions Driving best practice in data governance, lineage, metadata management and data quality Supporting strategic data initiatives, investment planning and architectural roadmaps Ensuring solutions meet regulatory, security, resilience and performance requirements Mentoring teams … making. You'll ideally bring: 3+ years' experience operating in a Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality ...

architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics, security and business functions Driving best practice in data governance, lineage, metadata management and data quality Supporting strategic data initiatives, investment planning and architectural roadmaps Ensuring solutions meet regulatory, security, resilience and performance requirements Mentoring teams … making. You'll ideally bring: 3+ years' experience operating in a Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality ...

architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics, security and business functions Driving best practice in data governance, lineage, metadata management and data quality Supporting strategic data initiatives, investment planning and architectural roadmaps Ensuring solutions meet regulatory, security, resilience and performance requirements Mentoring teams … making. You'll ideally bring: 3+ years' experience operating in a Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality ...

architectural assurance across delivery teams Collaborating with stakeholders across technology, data, analytics, security and business functions Driving best practice in data governance, lineage, metadata management and data quality Supporting strategic data initiatives, investment planning and architectural roadmaps Ensuring solutions meet regulatory, security, resilience and performance requirements Mentoring teams … making. You'll ideally bring: 3+ years' experience operating in a Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality ...

Server, SSIS and Alteryx amongst other technologies. Operating within a product centric model, the role flexes across multiple capability areas—including Master Data Management (MDM), data archiving and lifecycle management, integration engineering, and specialist engineering domains to ensure data is reliable, accessible, secure, and value-generating. Data Engineers … processes performs optimally Troubleshooting; identifying and fixing pipeline bottlenecks and data issues Understanding of data governance, data quality, and best practices The Data Management team: Our Data Management team is an innovative, customer‐focused group of data engineers and specialists responsible for building trusted enterprise data foundations. ...

systems. Support enterprise-wide data interoperability and data sharing initiatives. Data Quality, Governance & Security Implement data quality controls and validation processes. Support data governance, metadata management and data lineage initiatives. Ensure data solutions comply with security, privacy and regulatory requirements. Work closely with governance and security teams … embed best practice data management principles. Support compliance with GDPR and broader data protection requirements. Operational Support & Continuous Improvement Monitor, maintain and troubleshoot data pipelines and platform performance. Resolve data-related issues and implement preventative improvements. Support platform upgrades, enhancements and cloud migration activities. Identify opportunities to automate manual ...

Machine Learning and Fabric experiences to operationalise models and drive business insights. Design, monitor and optimise data pipelines and platform performance: Use Fabric capacity management, pipeline monitoring, logging, and operational best practices to improve reliability, throughput, cost, and scalability. Collaborate with cross-functional teams: Work closely with business analysts … data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and a scalable Fabric workspace and governance model. Stay ahead of the curve: Continuously learn and adapt to the evolving Microsoft data platform landscape, including ADF, Microsoft Fabric, Synapse, Purview, and related ...

cross-functional teams: Work closely with business analysts, data engineers, data scientists, and platform/DevOps teams to implement secure CI/CD, environment management, and scalable multi-account patterns (e.g., landing zones) for governed delivery. Stay ahead of the curve: Continuously learn and adapt to the evolving … 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 ...

Defining and implementing data governance frameworks, standards and operating models • Data ownership, stewardship, accountability and governance structures • Data quality frameworks, controls, metrics and monitoring • Metadata management, data lineage and data catalogue solutions • Master Data Management (MDM) • Data warehouse and data lake architecture • Data integration … Microsoft Fabric • Strong knowledge of SQL Server and PostgreSQL • Experience influencing senior stakeholders and driving organisation-wide adoption of governance standards • Excellent communication, stakeholder management and change leadership skills Desirable Experience • Financial services experience • Understanding of investment or wealth management products • Experience establishing governance functions within organisations undergoing ...

between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data management - and hold the organisation to it. Ensure all data practices meet security, privacy, and regulatory obligations, proactively ...

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 ...

world's most respected media organisations. This role is crucial in shaping the future across production facilities, content workflows, media asset management, editing, archiving, distribution, and monetisation. Day-to-day of the role: Elicit, analyse, and document business requirements across media production and content distribution workflows. Create detailed … development and solution evaluation. Analyse and optimise end-to-end content supply chains. Support design of workflows covering content ingest, production, post-production, asset management, storage, distribution, and archiving. Identify opportunities for workflow automation and operational efficiencies. Build relationships across Editorial, Technology, Commercial, Data Privacy, and Operations teams. Navigate ...

Intelligence teams to deliver meaningful insights and support reporting through Power BI and Metabase. Ensure data is accessible, reliable, governed, and well-documented through metadata management tools. Manage and prioritise a backlog of data requirements across the business. Implement and maintain CI/CD practices and version control … dimensional data modelling using SQLMesh, dbt, or equivalent tools. Experience with Git workflows, including branching, pull requests, and CI/CD practices. Strong stakeholder management and communication skills. Excellent analytical, problem-solving, and organisational abilities. Experience delivering scalable and reliable data solutions within a commercial environment. Desirable Skills Experience ...

Intelligence teams to deliver meaningful insights and support reporting through Power BI and Metabase. Ensure data is accessible, reliable, governed, and well-documented through metadata management tools. Manage and prioritise a backlog of data requirements across the business. Implement and maintain CI/CD practices and version control … dimensional data modelling using SQLMesh, dbt, or equivalent tools. Experience with Git workflows, including branching, pull requests, and CI/CD practices. Strong stakeholder management and communication skills. Excellent analytical, problem-solving, and organisational abilities. Experience delivering scalable and reliable data solutions within a commercial environment. Desirable Skills Experience ...

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering ...

data domains Develop and deliver a comprehensive Data Quality framework, incorporating rules, thresholds, monitoring, and issue resolution processes Define and implement capabilities for metadata management, data lineage, and data cataloguing Establish robust governance frameworks for data access, classification, and role-based access control (RBAC) Develop governance metrics … risk requirements into practical data governance controls Experience embedding Data Governance within modern data platforms and engineering delivery models Strong experience implementing Data Quality, metadata, and data lineage frameworks Experience defining and delivering operating models and governance structures Familiarity with modern data platforms (e.g. Azure, Databricks) Background within financial ...

performance - Collaborating with Data Engineers to ensure data pipelines and transformations deliver clean, reliable, and appropriately structured data - Defining and maintaining data definitions, metadata, and data dictionaries to support consistent understanding and reuse - Ensuring data models are optimised for Power BI consumption, including considerations for performance, aggregation, and usability … modelling impacts report performance and usability - Working with SQL and data transformation processes - Working with modern data platforms (data warehouses, data lakes) - Data governance, metadata management, and data quality principles - Working in Agile delivery teams, collaborating with cross-functional roles - Analytical thinking, attention to detail, and ability ...

performance - Collaborating with Data Engineers to ensure data pipelines and transformations deliver clean, reliable, and appropriately structured data - Defining and maintaining data definitions, metadata, and data dictionaries to support consistent understanding and reuse - Ensuring data models are optimised for Power BI consumption, including considerations for performance, aggregation, and usability … modelling impacts report performance and usability - Working with SQL and data transformation processes - Working with modern data platforms (data warehouses, data lakes) - Data governance, metadata management, and data quality principles - Working in Agile delivery teams, collaborating with cross-functional roles - Analytical thinking, attention to detail, and ability ...

Leadership: Proven experience in playing a leadership role within large-scale data migrations and transformation programmes. Strong experience in coaching and developing junior data management resource is essential. Technical Expertise: Expert in Data Management best practice. You will hold a DAMA qualification and possess adeep understanding … value and purpose of metadata management, data governance standards and procedures, data lineage, data ownership, and data quality best practice. You will also have expert experience in the application of these disciplines and how to monitor against them. Stakeholder Influence: Able to challenge, guide and influence project stakeholders ...

modernization and large-scale migration projects. Proven ability to coach and mentor others effectively in a senior capacity Demonstrable experience designing and managing metadata-driven frameworks using Azure Data Factory and Azure Databricks. Competence in and hands-on experience managing Databricks environments and developing lakehouse architectures with a focus ...

procedures across the organisation Drive data quality improvement, partnering with data owners and stewards to identify and resolve issues Own data catalogue and metadata management, ensuring data is discoverable, trusted and well-documented Collaborate across business and technology teams to deliver strong customer and business outcomes Engage with … protection queries and investigations Oversee SARs, data breaches and FOI requests, ensuring compliance with regulatory timelines Own data retention and destruction processes and document management policies Lead, coach and develop high-performing teams across Data Governance and Information Rights Build strong relationships with senior stakeholders, acting as a trusted ...