26 to 50 of 80 Metadata Management Jobs in England

will ensure our systems adhere to robust data architecture principles, frameworks, and best practices. Your role spans developing technical roadmaps, defining data policies, and driving consistent modelling, governance, and metadata standards. You will be able to build effective partnerships with diverse teams across multiple locations and technologies. If you have a passion for using data to create secure, high … ways of working across government. By collaborating with technical teams, you'll ensure that conceptual, logical, and physical data models are fit for purpose, leveraging next-generation cloud technologies, metadata solutions, and best-in-class analytics. You'll also advise on advanced topics like master data management and data lifecycle strategies, helping project teams handle complexity at scale. … of data excellence, coaching Lead Data Architects and facilitating knowledge-sharing to keep teams on the cutting edge. This role is critical in establishing a solid foundation for data management within an organisation, ensuring that data is organized, accessible, secure, and aligned with business objectives. Ultimately, your leadership and vision will unify data practices across Home Office programs and More ❯

high-quality conceptual, logical, and physical data models that empower business insights and drive data excellence across the organisation. Your work will support data governance, lineage, and master data management initiatives, ensuring data integrity and alignment with business needs. You will collaborate with architects, analysts, engineers, and data scientists to deliver industry-leading digital technology that enhances customer and … within data models. Develop and enforce data modelling standards and best practices. Validate and reconcile data models to guarantee accuracy and completeness. Support data governance, lineage, and master data management efforts. Profile data to identify and address quality issues. Collaborate closely with data architects and cross-functional teams to deliver aligned data solutions. Key Skills & Experience: Proven expertise in … creating and maintaining complex data models. Strong experience with data modelling tools and techniques. Experience working with Microsoft Azure and Databricks Solid understanding of database management systems and effective database solution design. Knowledge of data governance, data quality, and metadata management. Ability to translate business requirements into clear data models. Excellent communication and collaboration skills. Logical and analytical More ❯

requirements. Collaborate with data engineering and platform teams to integrate data governance within Databricks and Azure environments, including Data Lake, Synapse, and Purview. Define and enforce data classification, access management, and lineage tracking using Azure-native and third-party tools. Lead the Data Governance Council, facilitate stakeholder engagement, and ensure alignment across business, IT, compliance, and security teams. Establish … data quality metrics, rules, and monitoring mechanisms across cloud data pipelines and lakehouses. Champion the use of metadata management, data catalogs (e.g., Azure Purview, Unity Catalog), and standardized business glossaries. Provide governance oversight for data sharing and consumption in Databricks notebooks, Power BI reports, and machine learning workflows. Drive awareness and adoption of governance policies through training, documentation … and data literacy programs. Ensure data governance supports regulatory compliance, (e.g. GDPR) and internal risk frameworks. Qualifications: Required: Bachelor's degree in Information Management, Computer Science, Business, or a related field. 5+ years of experience in data governance, data management, or data architecture. Hands-on experience with Databricks and/or Microsoft Azure data services (e.g., Data Lake More ❯

of researchers and engineers. Develop scalable distributed systems for processing, filtering, and deploying datasets for machine learning. Process large, unstructured, multi-modal data sources (text, images, 3D models, code, metadata) into ML-ready formats. Conduct experiments on data to derive insights. Create visualizations and summaries to communicate data insights to researchers and leadership. Work with legal and trust teams … experiments. Preferred Qualifications Experience with databases and data warehousing (Hive, Iceberg). Data transformation skills (SQL, DBT). Experience with orchestration platforms (Airflow, Argo). Knowledge of data catalogs, metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations). Ability to analyze data using tools like Pandas, Matplotlib, Seaborn More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new ideas and solutions through original thinking. Results Focus – Aligns team efforts … team dynamics and contributes to collective success. Decision Making – Makes sound judgments and decisions at the right pace. Relationship Building – Develops and maintains strong internal and external networks. Performance Management – Sets and reviews performance goals aligned with business strategy. Integrity – Demonstrates ethical behaviour and lives the organisation’s values. More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new ideas and solutions through original thinking. Results Focus - Aligns team efforts … team dynamics and contributes to collective success. Decision Making - Makes sound judgments and decisions at the right pace. Relationship Building - Develops and maintains strong internal and external networks. Performance Management - Sets and reviews performance goals aligned with business strategy. Integrity - Demonstrates ethical behaviour and lives the organisation's values. More ❯

Job Title: Master Data Management Developer Location: Hybrid/London Contract Type: 6 months Day rate: c. £650pd outside IR35 We are looking for a Developer to join our client on their transformation journey to lead the design, development and implementation of their MDM solution Key Responsibilities: Develop MDM Solutions: Implement Semarchy xDM solutions with tailored data models, workflows … ELT tools (e.g., Azure Data Factory) and scalable data pipeline best practices. Cloud & API Skills: Experienced with Azure (Logic Apps) and API integration. Data Governance: Knowledge of data governance, metadata management, and compliance. Agile & Problem-Solving: Strong problem-solving, communication, and Agile/Scrum delivery skills. More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data … Provide support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data … Provide support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts More ❯

Microsoft Purview (or similar), and engage with emerging technologies such as AI agents and automation. Key Responsibilities: Develop and implement robust data governance frameworks. Drive data cataloguing, classification, and metadata management initiatives, ensuring sensitive and security-critical information is appropriately handled. Collaborate with stakeholders to improve data processes, ensure compliance with GDPR, and promote a culture of data … Provide support to teams with clear documentation and guidance on data usage and governance. About You: To be successful in this role, you should have experience with data governance, metadata management, and data quality processes. You should also be familiar with a data governance tool such as Microsoft Purview (or similar) and comfortable working with metadata concepts More ❯

or wider opportunities in CGI, where appropriate. We're looking to grow our Data Office team, working directly with the client to ensure that all aspects of their Data Management strategy are delivered. Your future duties and responsibilities As a Technical BA you will be responsible for: Data Modelling Design and develop Conceptual, Logical, and Physical Data Models to … and industry standards. Develop, promote, and govern data standards across teams and business units. Act as a champion for data quality and consistency, influencing stakeholders to adopt best practices. Metadata Management Design and implement Data Catalogues and Metadata Repositories to support data discovery and lineage tracking. Use industry tools such as Apache Atlas, Hive Metastore, AWS Glue … or AWS DataZone to manage metadata assets. Data Architecture & Business Alignment Collaborate with stakeholders to translate business problems into scalable data solutions. Contribute to the design and implementation of modern data platforms including data lakes, data warehouses, data pipelines, data meshes, and data marketplaces. Required qualifications to be successful in this role Proven experience in data modelling, including development More ❯

using Sparx EA or relevant tools. Responsible for detailed solution designing with defined principles and standards of the project in line with customer’s business requirement. Working on Data Management and end-to-end Data Architecture (extraction, ingestion, integration, transformation, virtualisation, visualisation, BI & analytics, MDM) and Data Governance (Lineage, Meta Data Management & Data Catalogs, Data Quality) activities. Supervising … and design architectural models and database structures using tools like Sparx EA. Designed detailed solutions aligned with project standards and customer requirements, ensuring architectural consistency. Led data architecture and management activities across the full data lifecycle, including governance aspects like metadata, lineage, and data quality. Provided technical guidance to team members for enhancements and production support, ensuring high More ❯

Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton More ❯

lakehouses, master/reference data models). Hands-on experience with Azure Databricks, including: Workspace and cluster configuration. Delta Lake table design and optimization. Integration with Unity Catalog for metadata management. Proficiency with Unity Catalog, including: Setting up data lineage and governance policies. Managing access controls and data sharing. Strong knowledge of data modelling tools (e.g., Erwin, PowerDesigner, SQL More ❯

experts. You will create and maintain a comprehensive delivery roadmap that balances short-term enhancements with long-term innovative goals. Working in close partnership with Engineering, Data, and Product Management teams, you'll drive initiatives that modernize the dataset, improve delivery mechanisms, and support advanced analytical capabilities across platforms. We'll trust you to: Own the end-to-end … leading across Product, Engineering, and Data teams. Experience navigating ambiguity and delivering structure to complex, evolving domains. We'd love to see: Experience with data governance, quality frameworks, and metadata management. Understanding of third-party entity data providers and integration strategies. Experience with modern data infrastructure and architecture, including APIs, data pipelines, or LLM-based enrichment solutions. Awareness of More ❯

needed to bring that vision to life. Key Responsibilities Include Defining and owning the enterprise and commercial data strategy aligned with the digital transformation goals Establishing data governance policies, metadata standards, data stewardship roles, and classification models Designing scalable data architecture that integrates corporate services and operational data systems Architect data pipelines and semantic layers to support BI, advanced … diagrams, and governance strategies to executive and technical stakeholders Key Skills Required Demonstrable hands-on systems integration and enterprise-scale data strategy experience Expertise in data governance, data modelling, metadata management Strong understanding of Azure or Data Factory, Synapse & Data Lake Ability to translate complex data concepts into business-aligned strategies and actionable outcomes Hays Specialist Recruitment Limited More ❯

needed to bring that vision to life. Key Responsibilities Include Defining and owning the enterprise and commercial data strategy aligned with the digital transformation goals Establishing data governance policies, metadata standards, data stewardship roles, and classification models Designing scalable data architecture that integrates corporate services and operational data systems Architect data pipelines and semantic layers to support BI, advanced … diagrams, and governance strategies to executive and technical stakeholders Key Skills Required Demonstrable hands-on systems integration and enterprise-scale data strategy experience Expertise in data governance, data modelling, metadata management Strong understanding of Azure or Data Factory, Synapse & Data Lake Ability to translate complex data concepts into business-aligned strategies and actionable outcomes Hays Specialist Recruitment Limited More ❯

and delivering an effective Data organization and team model to maximize impact. Partnering with the Executive team to influence strategic decision-making through analytics. Overseeing Data Governance and Data Management, including Data Quality, Self-Serve enablement, Metadata Management, Data Protection, and Privacy. Aligning with the Business Strategy and executing the Data Strategy accordingly. Building influence across the More ❯

and clean data layers that empower teams across the organization to make informed, data-driven decisions. This is a hands-on role that blends engineering excellence with product thinking, metadata management, and a passion for enabling self-service analytics and data literacy across the business. Key Responsibilities: Build & Maintain Scalable Data Warehousing Solutions: Design, build, and maintain robust … data products Implement best practices around versioning, SLAs, data contracts, and quality validation Own the end-to-end lifecycle of key datasets, including documentation, testing, monitoring, and maintenance Use metadata, lineage, and usage metrics to ensure data products are trustworthy, discoverable, and valuable Enable Data Democratization & Self-Service: Build intuitive, well-structured data models to empower BI tools (e.g. … in SQL and Python for data processing and automation Experience working with data modeling tools and practices (e.g., dimensional, star/snowflake schema, dbt) Solid understanding of data governance, metadata, and quality frameworks Strong collaboration and communication skills, with the ability to work cross-functionally in an Agile environment Exposure to data product management principles (SLAs, contracts, ownership More ❯

usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance data and KPIs is advantageous but not essential Benefits: Competitive salary and benefits Discretionary More ❯

usage Support analytics and self-service reporting initiatives Skills & Experience Strong experience with GCP, BigQuery, Dataflow Proficiency in Python and Terraform Skilled in ETL/ELT, data modelling, and metadata management Familiarity with CI/CD, DevOps, and Infrastructure-as-Code Knowledge of insurance data and KPIs is advantageous but not essential Benefits: Competitive salary and benefits Discretionary More ❯

as needed. What We're Looking For Required: 5+ years in a Pre-sales or Solutions Engineering role, ideally in a data-driven software environment Deep understanding of Data Management disciplines, especially Data Governance, Metadata Management, and Data Lineage Exceptional communication skills - able to connect with technical and non-technical audiences, adapt quickly, and tell compelling stories More ❯

curated data layers efficiently. Build scalable ETL/ELT processes with Azure Data Factory and PySpark. Support data governance initiatives using tools like Azure Purview and Unity Catalog for metadata management, lineage, and access control. Ensure consistency, accuracy, and reliability across data pipelines. Collaborate with analysts to validate and refine datasets for reporting. Apply DevOps and CI/ More ❯

Data Management Manager Location: Manchester Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We … communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Manager to join our Data & AI Practice. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience … allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. You will learn, grow and advance amongst an innovative culture that thrives on shared success, diverse More ❯

Data Management Manager Location: Bristol Career Level: Manager Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history (typically including no periods of 30 consecutive days or more spent outside of the UK) at the point of application. Note: The above information relates to a specific … communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO As a team: We have an exciting opportunity for a Data Management Manager to join our Data & AI Practice. We deliver scalable, business critical solutions for our clients in the Data Management and Governance team. Our end-to-end experience … allows our Data practitioners to advise on Data management and Strategy, Modelling, MDM, Data Quality, Metadata Management, Data Privacy and compliance through to Data Mesh and Marketplace. Our technology and consulting expertise and breadth skills enables transformational change at any scale. You will learn, grow and advance amongst an innovative culture that thrives on shared success, diverse More ❯