1 to 25 of 81 Metadata Management Jobs in England

promote the value of data across business and technology teams. Mentor data engineers, BI developers, and other stakeholders in data architecture and best practices. Maintain comprehensive architecture documentation for metadata, data lineage, and data governance. Essential Skills & Qualifications Extensive experience architecting enterprise data solutions and designing scalable data platforms. Proven expertise in data modeling (conceptual, logical, physical), metadata management, and master data management (MDM). Deep understanding of data integration, transformation, and ingestion techniques using modern tools (e.g., Azure Data Factory, Boomi, Informatica, Talend, dbt, Apache NiFi). Strong familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure … tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data governance, data privacy, and compliance frameworks (e.g., GDPR, ISO 27001). Excellent communication and stakeholder management skills; able to translate complex data concepts into business-friendly language. Ability to lead technical discussions and influence data-driven decision making across teams. Certifications such as Microsoft Certified More ❯

with evolving data governance standards. Key Responsibilities Architect Scalable Data Solutions: Design and implement efficient data models and database architectures to support current and future business needs. Develop Documentation & Metadata Standards: Maintain clear and up-to-date architectural documentation, including metadata definitions and data lineage diagrams. Establish Data Standards & Best Practices: Define and enforce data architecture principles, governance … Azure-based machine learning workflows and Databricks on Azure Designing and optimizing data lakes, warehouses, and pipelines Experience implementing data governance, security standards, and compliance practices. Strong understanding of metadata management, data lineage, and data quality frameworks. Preferred Skills & Knowledge: Familiarity with big data technologies such as Hadoop, Spark, or Kafka Excellent communication skills with the ability to … strategies to non-technical stakeholders. Outstanding problem-solving abilities and organizational skills. Certifications (Preferred/Desirable): Azure Solutions Architect Expert Azure Data Engineer Associate Knowledge of Azure security & access management (Azure AD, Azure Policy) Experience with Azure DevOps and CI/CD practices More ❯

expertise. They offer a structured and professional environment, providing employees with opportunities to contribute to impactful projects in a collaborative setting. Description Deep expertise in data governance, data quality, metadata management, profiling, analysis, and related data management tools. Lead the implementation of data governance across Risk and Finance domains, ensuring alignment with BCBS239 regulatory standards. Accountable for … end-to-end ownership of data definition, lineage, and governance for prioritised use cases. Oversee business data requirement changes, ensuring effective execution of change and release management across data domains. Contribute to meeting regulatory obligations by establishing processes that ensure the delivery of accurate, complete, timely, and reliable data. Partner with divisional stakeholders to develop and implement data standards … data quality, data profiling, and analysis. In-depth working knowledge of BCBS239 gained through experience in Tier 1 and Tier 2 banking environments. Skilled in communicating effectively with senior management, including board-level stakeholders. Proficient in interpreting complex data structures and performing advanced calculations across Risk and Finance functions. Comprehensive understanding of the Risk and Finance data domains, along More ❯

cycle, supports them in becoming truly data-driven, and in turn solves complex industry challenges faced across a variety of sectors. Here, you will become a specialist in data management, with projects spanning data governance, data ethics, data quality and data architecture, through managing and delivering work streams that expose the true value of clients' data. Additionally, you'll … are keen to strengthen their team and hear from you. Get a head start on the competition, and apply here today. What You Need: Solid professional grounding in data management, covering one or more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies and metadata management Strong problem solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that allow you build credibility with clients Company: Graduate Recruitment Bureau (Hiring for client) Location: London, UK Salary Notes: £55-70K Course Notes: Any considered with a preference for STEM subjects Jobs related More ❯

data insights to support business operations effectively. Client Details This organisation is a large entity operating within the financial services sector. Description Strong expertise in data governance, data quality, metadata management, data profiling, analysis, and data management tools. Lead the implementation of data governance practices within the Risk and Finance domains, aligning with BCBS239 regulatory standards. Owns … the end-to-end data definition, lineage, and governance responsibilities for prioritised use cases. Oversee changes to business data requirements, ensuring proper execution of change and release management activities within the data domains. Contributes to meeting regulatory requirements by helping establish processes that deliver accurate, complete, timely, and reliable data. Collaborates with divisional stakeholders to develop and implement data … Risk and Finance data landscape, including data governance frameworks and regulatory requirements across business and technology functions. Able to take an enterprise-wide view, avoiding siloed approaches to data management and governance. Analytical thinker with strong problem-solving skills and a proven ability to implement effective, practical solutions. Demonstrates strong stakeholder management skills, securing buy-in and collaboration More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on … will evaluate existing platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. You'll oversee how data catalogues, metadata systems, and governance frameworks are implemented, championing best practices across multiple programs. By leading data design reviews, you'll ensure alignment with department-wide standards, while also balancing performance … will help streamline Home Office workflows, promote consistent data usage, and foster innovative ways to harness critical data at scale. Person specification Key responsibilities Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate More ❯

BAs to design semantic models and logical data layers to support trusted reporting and analytics. Recommend standards for master data and reference data governance. Support adoption of federated governance, metadata management, and lineage tooling Support the development and implementation of a "data passport" model - a metadata construct that travels with datasets across the estate, capturing critical attributes … trusted reporting and analytics. Establish integration patterns between customer platforms and back-office systems (e.g. Finance, HR, CRM). Recommend standards for data modelling, master/reference data, and metadata governance. Collaborate with engineering, product, and commercial leaders to align architecture with business needs. Evaluate third-party APIs and reverse-engineer live system data models as needed. Author agile More ❯

Home Office systems, enabling secure, data-driven services that keep the country safe. Working under the vision set by the Principal Data Architect, you'll design robust data models, metadata systems, and governance frameworks to serve diverse stakeholders. Your leadership will span strategic planning, mentoring junior data architects, and aligning technical decisions with business objectives. If you thrive on … platforms, identify gaps, and recommend optimisations whether via cloud-native services, large-scale distributed data platforms, or modern data warehouses. What you will do Design and maintain data models, metadata systems, and data flows that align with the overarching data strategy. Advise and guide data professionals on implementing best practices for data modelling, governance, and metadata management. Collaborate … e.g. Oracle, SQL Server, Cloud Data platforms) plus real-time data streaming/processing technologies (Kafka, Spark). Data modelling and governance proficiency, covering conceptual, logical, and physical architectures, metadata management. Cloud data technologies: experience architecting solutions on AWS, Azure, or GCP, optimising cost, performance, and security. Proven ability to design and implement data governance tools and data literacy More ❯

Join a Global Technology Consultancy and Shape the Future of Data Are you a seasoned data management professional looking to make a significant impact? About the Role: As a Senior Data Management Consultant at this global consultancy, you'll play a pivotal role in guiding organisations towards data-driven excellence. You'll work closely with clients to develop … and implement robust data management strategies, ensuring data quality, security, and governance. Your expertise will be instrumental in helping clients unlock the full potential of their data assets. Why Choose Them: Global Leadership: Be part of a successful global technology consultancy shaping the future of data. Challenging Projects: Work on diverse and impactful projects that drive real-world business … flexible work environment and competitive benefits that support your professional and personal goals. Continuous Development: Benefit from opportunities for ongoing learning and development, staying at the forefront of data management trends. Key Responsibilities: Data Governance and Ethics: Develop and implement comprehensive data governance frameworks that align with business objectives and regulatory requirements. Ensure adherence to ethical concepts and best More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and … adoption of governance practices Regulatory Compliance Understanding: Solid grasp of compliance frameworks such as G.D.P.R., C.C.P.A., and other data protection legislation. QUALIFICATIONS Bachelor’s degree in Data Management, Information Systems, Computer Science, or related discipline Minimum of 5 years’ experience in data governance roles, with demonstrable success in policy development and tool implementation Strong expertise in Microsoft Purview; experience More ❯

based in London (Liverpool St) About Our Client This organisation is a large entity operating within the financial services sector. Job Description Strong expertise in data governance, data quality, metadata management, data profiling, analysis, and data management tools. Lead the implementation of data governance practices within the Risk and Finance domains, aligning with BCBS239 regulatory standards. Owns … the end-to-end data definition, lineage, and governance responsibilities for prioritised use cases. Oversee changes to business data requirements, ensuring proper execution of change and release management activities within the data domains. Contributes to meeting regulatory requirements by helping establish processes that deliver accurate, complete, timely, and reliable data. Collaborates with divisional stakeholders to develop and implement data … Risk and Finance data landscape, including data governance frameworks and regulatory requirements across business and technology functions. Able to take an enterprise-wide view, avoiding siloed approaches to data management and governance. Analytical thinker with strong problem-solving skills and a proven ability to implement effective, practical solutions. Demonstrates strong stakeholder management skills, securing buy-in and collaboration More ❯

solution architects, and data product teams to gather requirements and design solutions. Provide guidance on data integration, transformation, and migration strategies. Establish and maintain enterprise data models, data dictionaries, metadata repositories, and data lineage documentation. Ensure data models comply with organizational policies and regulatory requirements. Optimize data products and their components for performance, scalability, and reliability. Evaluate and recommend … warehouse design, ETL/ELT processes, and big data technologies (e.g., Snowflake, Spark). Understanding of data governance and compliance frameworks (e.g., GDPR, HIPAA). Strong communication and stakeholder management skills. Analytical mindset with attention to detail. Leadership and mentoring abilities in data modeling best practices. Preferred Skills and Qualifications Certifications in data modeling, cloud platforms, or database technologies. … tools like GitHub Actions or similar. AWS certifications such as AWS Certified Data Engineer. Knowledge of Snowflake, SQL, Apache Airflow, and DBT. Familiarity with Atlan for data cataloging and metadata management. Understanding of iceberg tables. Who we are: We're a global business empowering local teams with exciting work that is making a difference. Our portfolio includes consulting, applications More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

Governance and Quality Assurance: Embed governance, security, and data quality practices into engineering workflows. Define guardrails and reference implementations for data access control, data lineage, and compliance. Promote consistent metadata management and enforce technical standards to ensure trust in data assets. Stakeholder Engagement: Collaborate with PN D&A leadership, PN product owners, and segment D&A leadership to More ❯

members appreciate diversity of thinking, ideas and experiences, and are always learning, experimenting and applying tuition value into everything we do. As a Senior Data Engineering Consultant in the Metadata Management Program, you’ll contribute to the design, development and support of a variety of integration and process automation techniques to ensure accurate consumption and ingestion of business … and technical metadata to and from many systems. You will design and develop APIs to enable programmatic retrieval and management of metadata by consumers external to the metadata management platform. In addition you will ensure reliable and consistent processing to our Collibra cloud platform and automate information lifecycle management processes using web enabled workflows. … manner while continuing to advance our reputation of being trustworthy through transparent communication. What you'll do Work with business stakeholders on the adoption and onboarding of the TELUS Metadata Management Tool powered by Collibra (training and technical support) Collaborate with business stakeholders to define integration approaches, identify the best techniques, ensure capture and storage of all available More ❯

The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What You’ll Be Doing: ✅ Applying SAS and other analytical tools … data challenges Who You Are: 🔥 Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯

The Role: Sitting at the heart of our data transformation, this role supports the development, implementation, and operation of Data Management Frameworks . You’ll be working with metadata management, data harmonisation, quality score carding, data lineage, and profiling —all critical for building robust data governance. What You’ll Be Doing: ✅ Applying SAS and other analytical tools … data challenges Who You Are: 🔥 Passionate about data quality and continuously improving processes 📈 Experienced in SAS , SQL, Power BI, and other analytics tools 🛠️ Skilled in data governance, lineage, and metadata management 📚 Familiar with regulatory frameworks like GDPR, BCBS, CCPA More ❯

. The Ideal Candidate The ideal candidate will bring strong expertise in Data Analysis combined with a working knowledge of: Data Governance principles Data Migration Cloud Transformations Operational Risk management practices This unique blend of skills will enable the successful candidate to provide both analytical depth and governance oversight, supporting the delivery of a robust and compliant data environment. … Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data quality issues , contributing to root … data governance, and data quality within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business More ❯

. The Ideal Candidate The ideal candidate will bring strong expertise in Data Analysis combined with a working knowledge of: Data Governance principles Data Migration Cloud Transformations Operational Risk management practices This unique blend of skills will enable the successful candidate to provide both analytical depth and governance oversight, supporting the delivery of a robust and compliant data environment. … Key Responsibilities Conduct in-depth data analysis to support governance, quality, and risk assessment across Risk and Finance data assets. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse data quality issues , contributing to root … data governance, and data quality within Risk and Finance functions. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business More ❯

Ideal Candidate The ideal candidate will bring strong expertise in Data Analysis combined with a working knowledge of: Data Governance principles BCBS239 regulatory frameworks ECB onboarding processes Operational Risk management practices This unique blend of skills will enable the successful candidate to provide both analytical depth and governance oversight, supporting the delivery of a robust and compliant data environment. … support governance, quality, and risk assessment across Risk and Finance data assets. Lead the implementation of data governance initiatives aligned with BCBS239 and enterprise-wide standards. Manage data definitions, metadata, and lineage for high-priority data use cases, ensuring consistency and transparency. Collaborate with stakeholders to align business needs with regulatory requirements and data governance frameworks. Investigate and analyse … environments. Familiarity with ECB supervisory processes and Operational Risk management. Demonstrated ability to interpret complex data sets and develop meaningful insights to inform governance decisions. Expertise in enterprise data management, including data modelling and metadata management. Strong stakeholder engagement and influencing skills, with experience working with senior executives. Proficiency in Excel, Visio, and PowerPoint, with experience in business More ❯

complex reporting initiatives in a highly regulated, fast-paced environment. The ideal candidate should have a strong background in robust enterprise delivery of reporting/data visualisation platforms, project management, and leadership skills to drive the team towards achieving strategic objectives. They should be curious about the technology and design of the reporting platforms as well as how the … IT, the Data Office, colleagues in the US, and the rest of the EMEA business stakeholders. Put in place long term solutions for the ongoing maintenance and support. Line management of the team including objective setting Scale: Will be working in a growing team of 30-50 IT staff within a wider IT department of circa 400 staff Will … tools (e.g., Power BI, Tableau) and SQL-based data modelling. Collaborate with senior stakeholders across trading, risk, finance, and compliance to translate business needs into scalable reporting solutions. Delivery Management - Lead the end-to-end delivery of reporting projects, ensuring alignment with Agile delivery practices and tight regulatory timelines (e.g., BCBS 239, MiFID II, FRTB). Oversee the development More ❯

solutions we offer our customers every day are as diverse as our employees. We are/have: Experts across the Capital Markets, Insurance, Payments, Retail Banking and Wealth & Asset Management domains. Deep knowledge in various financial services offerings including Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to … complex agile consulting projects supporting our clients with data architecture design and delivery. You will work with technology leaders across Financial Services to provide best practice guidance for data management and data architecture development and optimization. You will build a set of services and capabilities that support Capco's vision of Modern Data Architecture and our clients' data journeys … and Data Lake design. Experience designing and implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding More ❯

and improve governance frameworks . Implement and maintain data quality monitoring , data profiling , and policy enforcement processes . Drive the use of Unity Catalog and similar tools for managing metadata and access control. Build scalable reporting and automation workflows using SQL , Python , and orchestration tools. Partner with stakeholders to improve data trust and culture across structured and unstructured datasets. … in SQL and Python for data manipulation and automation. Familiarity with Unity Catalog , data cataloging , or lineage tools (e.g., Alation, Collibra, Purview). Understanding of structured and unstructured data management , profiling tools, and data quality metrics. Comfortable with CI/CD pipelines , version control ( Git ), and job orchestration. Excellent communication skills, with the ability to work cross-functionally and More ❯