26 to 50 of 219 Metadata Management Jobs in England

MetadataLocation: Fareham, once every 2 weeks Contract Type: Permanent, Full-TimeSalary: upto 60.000Start Date: ASAPAbout the RoleWe are looking for a Data Governance Analyst - Metadata to join a growing Data Governance team and play a key role in strengthening a data-driven culture across the business.Working within the metadata pillar, you will help deliver and enhance metadata services that support trusted, well-managed, and discoverable data and AI products. This is an exciting opportunity to work with industry-leading tools, including Collibra and Databricks Unity Catalog, while contributing to strategic data capabilities that directly support business decision ...

their data. We ADVISE on data, analytics and AI strategy – You will act as a trusted advisor, shaping vision and defining AI-driven data management strategies, articulating the business benefits of robust governance, quality and MDM capabilities. We TRANSLATE complexity into clarity – You will guide and influence senior stakeholders … secure buy‐in and drive cultural change toward data-driven outcomes. We DESIGN operating models – You will define and design elements of the data management operating model, including roles, processes, standards and stewardship frameworks, embedding these into client organisations. We ENABLE trusted AI and analytics – You will support ...

Lead and mentor engineering teams and ensure adherence to team standards Ensure accurate, high-quality documentation and engineering deliverables Perform data architecture and database management, including prototypes, database structures, and APIs Transform logical data architectures into physical data designs Provide database administration for databases, data warehouses, and datamarts Debug … defects Refactor database designs and improve data placement and database reuse Ensure data replication, performance, high availability, backup, and recovery meet requirements Develop data management, data security, data product, and process strategies and standards Lead data assets within an Agile team according to enterprise standards and policies Spend approximately ...

clear ownership and accountability for critical data across the organisation. Work with Data Owners and Data Stewards to define responsibilities, governance requirements and data management standards. Develop and maintain data governance policies covering areas such as data ownership, data quality, metadata, classification, retention and appropriate data usage. Drive … technology teams to understand root causes and implement sustainable solutions. Support the development and maintenance of the organisation's data catalogue, business glossary and metadata management capabilities. Define and maintain critical data elements, data definitions and associated business rules. Work closely with Risk, Compliance, Information Security, Legal ...

components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow , including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi‐tenant architecture: tenant isolation, configuration management, metadata‐driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning ...

Doing Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted Translating business requirements into clear, well‐structured data models in collaboration with Product Owners, Technical Lead … sample data Providing high‐quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using recognised data modelling tools Capturing and maintaining ...

doing*** Designing, implementing and maintaining conceptual, logical and physical data models aligned to business domains* Maintain and enhance the enterprise data catalogue, ensuring metadata, lineage and business definitions remain accurate and trusted* Translating business requirements into clear, well‐structured data models in collaboration with Product Owners, Technical Lead … sample data* Providing high‐quality model documentation to support downstream development and analytics* Maintaining data modelling standards and best practices across squads* Applying change management principles to ensure consistency and traceability of model changes* Supporting governance and metadata management using recognised data modelling tools* Capturing and maintaining ...

ownership and enabling trust in data. The role will collaborate with colleagues across the business on the implementation and enduring support required for effective metadata management, safe and easy access to data, data quality monitoring, and data quality issues management. MAIN RESPONSIBILITIES Support the development and implementation … challenges to enable a strategic and value adding Data Governance approach. Work with business areas/data domains to help them establish effective metadata management using the approved data catalogue tool. Become an expert in the approved data catalogue tool, train others in its use, and resolve ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

cloud architects, security teams, and customer stakeholders to deliver high-quality data solutions. Governance & Security: Establish and enforce governance frameworks covering data quality, lineage, metadata management, access controls, and regulatory compliance. Documentation: Produce and maintain architecture artefacts, standards, patterns, and technical documentation. Future Technology: Guide customers on emerging … Cloud and/or Databricks Lakehouse Platform. Strong knowledge of cloud-native data architectures across Azure and AWS Strong understanding of data governance, security, metadata management, and data lifecycle management. Understanding of AI/ML data requirements and modern analytics platforms. Knowledge of big data processing frameworks ...

data architecture, enterprise data models, and domain architectures within complex organisations. You will have strong expertise in modern data platforms, integration architecture, master data management, metadata governance, and data quality frameworks, alongside hands-on experience with Microsoft Azure, Microsoft Fabric, and data governance tools such as Purview … Frameworks (TOGAF, DAMA (CDMP)), architectural principles, design patterns, architecture tools and artifact repositories. Strong understanding of integration architecture, modern data platforms, and master data management approaches. Strong knowledge of metadata management, lineage, data catalogues and data quality frameworks. Experience of working with Microsoft Azure data services, Microsoft ...

workloads. Establish enterprise data architectures, medallion design patterns, data models, semantic layers, and governance frameworks using capabilities such as Unity Catalog, lineage, access controls, metadata management, and quality controls to support scalable analytics and AI. Design modern ML, MLOps and LLMOps architectures, including feature engineering, model lifecycle management … data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management, AI governance, vector databases, Retrieval‐Augmented Generation (RAG), and enterprise AI deployment patterns. Strong understanding of enterprise data governance, security, metadata management ...

expertise and leadership in the development, implementation and continuous improvement of Together's Data Governance Framework. You will drive data ownership, stewardship, data quality, metadata management and governance maturity across the organisation as a recognised expert in the data, processes and controls. As a trusted adviser … business and technical and delivery stakeholders alike, you will be leading governance initiatives; influencing decision making and embedding practical data management controls that support regulatory compliance, operational effectiveness and strategic business outcomes. This is also a great opportunity to be involved in data architecture activities including contributing to data ...

doing Building and maintaining data quality pipelines and controls in Snowflake. Developing automated monitoring, validation and alerting frameworks. Supporting data lineage, metadata management and governance tooling. Implementing governance controls around data access, classification and retention. Working closely with Data Governance, Architecture and Engineering teams. Driving continuous improvements … data quality, reliability and performance. Knowledge, Skills & Experience Essential Proven experience in a Data Engineer role, with exposure to data quality, governance or data management practices. Strong hands-on Snowflake experience, including SQL optimisation and data pipeline development. Experience building and orchestrating data pipelines using tools such ...

Engineer to lead the end-to-end delivery and rollout of Alation and Profisee within a complex enterprise environment. Skills and Experience: * Enterprise data management/technology delivery * Alation and/or Profisee implementation and delivery (or similar platforms such as Collibra, Informatica, Purview or Ataccama) * Data Governance, Metadata Management, MDM and Data Quality * Agile delivery and stakeholder management * Vendor management, risk management and technical oversight If you have a strong track record delivering enterprise data programmes and are available for a new contract, please get in touch or apply today. CBSbutler is operating ...

Data Management Lead London - Hybrid Up to £100,000 + bonus VIQU has partnered with one of the UK's leading brands, currently seeking a Data Management Lead to join their developing data team as they continue to go from strength to strength. Committed to excellence, they … data and technology. The organisation has restructured its operations to better serve customers, adopt cutting-edge technologies, and drive exceptional business growth. The Data Management Lead will work closely with data governance, engineering and business teams, playing a key role in shaping and managing the organisation's data practices. ...

every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor … building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication ...

lineage, observability and quality so that data assets are transparent, trusted and usable at scale. Shape enterprise approaches to data, information and knowledge lifecycle management, embedding governance for retention, stewardship, reuse, archival and disposal to maximise value while maintaining compliance. Champion new ways of managing unstructured information to improve … working. Ready to shape how data powers digital healthcare? Essential Skills/Experience 10+ years enterprise level leadership experience in data governance, data management, information management or enterprise data platforms, with accountability for global strategy and delivery. Experience in user experience design and evidence of translating this into ...

Price Verification (IPV) platform supporting a global Refined Product Trading organization. The Solution Architect will define the end-to-end architecture for a governed, metadata-driven IPV Control Hub that replaces fragmented Excel, Microsoft Access, VBA, and email-based processes with an automated, controlled, and SOX-compliant enterprise solution. … loop business processes; Power Automate for workflow orchestration; PostgreSQL and Amazon RDS for governed data storage; and Power BI for operational, risk, and management reporting. The successful candidate will work closely with Commodity Risk, Trading, Finance, Data Engineering, Cybersecurity, Platform, Architecture, Compliance, and business stakeholders. This individual will ensure ...

Client Details Ourclientisaleadingpublicsectororganisationdeliveringlarge-scaledataanddigitalinitiativesthatsupporteconomicgrowth,collaboration,andinnovationacrosstheUK.Thisprogrammeofferstheopportunitytocontributetoahigh-profiledatatransformationprojectwithsignificantnationalimpact. Description Develop data-sharing rulebooks, agreements, and reusable governance templates. Define and maintain tourism-related data taxonomies, metadata standards, and schema guidance. Design governance frameworks including participation criteria, change management processes, and dispute resolution mechanisms. Work with technical teams to align … governance requirements with platform implementation. Create guidance on data harmonisation, structure, and interoperability across multiple data sources. Develop toolkits and standards for data uploads, metadata management, and collaboration. Capture lessons learned from programme participants and drive continuous improvement. Define accreditation and trust mark frameworks for data suppliers ...

stages of delivery. As a subject matter expert, you will bring deep expertise in core data architecture disciplines including data modelling, data flows, metadata management, data transformation, and governance. You will be expected to engage and build relationships with senior stakeholders in client account across national arms-length … integration, analytics, AI/ML and interoperability. Acting as a Lead Data Architect within delivery programmes, responsible for the technical design, data model development, metadata and governance practices. Providing technical leadership and assurance for delivery teams, ensuring alignment with Data and AI best practices and client goals. Advising clients ...

underpins model development. Establish data engineering standards and engineering practices, including data quality controls, testing, CI/CD for data, reproducibility standards, data contracts, metadata management and dataset versioning. Deliver hands-on leadership on the most difficult and highest-impact data engineering challenges, including integrating novel and complex … modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers ...

Head of Data Governance Lead enterprise data governance and management for a complex, regulated organisation, shaping trusted data, clear accountability and robust controls. This senior opportunity suits a proven governance leader who can influence executives and embed organisation-wide change. This role is officially known as Head of Data … Management & Governance If you’ve also worked in the following roles, we’d also like to hear from you: Data Governance Lead, Data Governance Manager, Head of Data Management, Data Management Lead, Enterprise Data Governance Lead, Data Quality Lead, Head of Data Quality, Data Governance and Quality ...

challenge consensus. The Data Ecosystem team is an important part of DRW’s Unified Platform (UP) organization, building the platform capabilities, managed infrastructure, and metadata management systems that underpin our common query layer and power thousands of batch and streaming pipelines across DRW. As a Team Lead … Data Ecosystem team, you will lead a team of Data Engineers who craft the architecture of DRW’s data platform, establishing data infrastructure, creating metadata management tools, and scaffolding governance processes that accelerate the time to onboard datasets, curate them, and make them available throughout the firm. This ...

components, design spikes, performance fixes). ETL orchestration & data movement Design and develop robust ETL pipelines orchestrated in Apache Airflow, including scheduling strategies, dependency management, retries, backfills, and processing. Establish patterns for onboarding new source systems and delivering data to downstream vendor systems with strong reliability and traceability. Drive … data quality controls (validation, reconciliation, exception handling) and operational runbooks. Platform engineering (multi-tenancy & scalability) Evolve the multi-tenant architecture: tenant isolation, configuration management, metadata-driven pipelines, and scalable runtime patterns. Optimise for performance, cost, and reliability across environments (dev/test/prod), including capacity planning ...