1 to 25 of 163 Metadata Management Jobs in the UK excluding London

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 ❯

performance data platforms in production environments. This role requires a deep understanding of modern data engineering practices, real-time processing, and cloud-native solutions. Key Responsibilities: Data Pipeline Development & Management: Design, implement, and maintain scalable and reliable data pipelines to ingest, transform, and load structured, unstructured, and real-time data feeds from diverse sources. Manage data pipelines for analytics … hybrid data storage models for unified access and processing. Data Governance & Stewardship: Implement robust data governance, access control, and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML models. Maintain awareness More ❯

GDPR). Essential: 7+ years in Data Engineering, with 2+ years in a Principal or Lead role. Proven experience designing and delivering enterprise data strategies. Exceptional communication and stakeholder management skills. Expertise in enterprise-grade data warehouses (Snowflake, BigQuery, Redshift). Hands-on experience with Apache Airflow (or similar orchestration tools). Strong proficiency in Python and SQL for … pipeline development. Deep understanding of data architecture, dimensional modelling, and metadata management. Experience with cloud platforms (AWS, GCP, or Azure). Familiarity with version control, CI/CD, and Infrastructure-as-Code (Terraform or similar). Desirable: Background in fintech or payments. Knowledge of streaming frameworks (Kafka, Kinesis). Experience with dbt and data quality frameworks (e.g., Great Expectations More ❯

problems. Key responsibilities: Data Platform Design and Architecture Design, develop, and maintain a high-performing, secure, and scalable data platform, leveraging Databricks Corporate Lakehouse and Medallion Architectures. Utilise our metadata-driven data platform framework combined with advanced cluster management techniques to create and optimise scalable, robust, and efficient data solutions. Implement comprehensive logging, monitoring and alerting tools to … professional knowledge through continual development, and advocate best practices within a Centre of Excellence. Skills, knowledge and expertise: Deep expertise in the Databricks platform, including Jobs and Workflows, Cluster Management, Catalog Design and Maintenance, Apps, Hive Metastore Management, Network Management, Delta Sharing, Dashboards, and Alerts. Proven experience working with big data technologies, i.e., Databricks and Apache Spark. … Proven experience working with Azure data platform services, including Storage, ADLS Gen2, Azure Functions, Kubernetes. Background in cloud platforms and data architectures, such as Corporate DataLake, Medallion Architecture, Metadata Driven Platform, Event-driven architecture. Proven experience of ETL/ELT, including Lakehouse, Pipeline Design, Batch/Stream processing. Strong working knowledge of programming languages, including Python, SQL, PowerShell, PySpark More ❯

Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage … initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and … we are looking for versatile team members, capable of successfully executing a diverse array of data-driven projects. This includes expertise in agile delivery, requirements gathering, data analysis, stakeholder management, governance, and compliance. Your Profile We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal More ❯

Financial Risk & Compliance (DFRC) team and shape the future of risk and finance! We harness cutting-edge technology, AI-powered models, and cloud-first data platforms to transform risk management from a reactive function into a strategic powerhouse-driving growth, resilience, and competitive edge. Be part of a dynamic and inclusive team that's redefining how businesses anticipate, manage … initiatives, ensuring compliance with organizational policies and regulatory standards. Governance Framework Development: Develop and maintain a comprehensive data and records governance framework aligned with regulatory requirements and industry standards. Metadata Management: Manage and maintain metadata to enhance data discoverability, consistency and accuracy Data Quality Assurance: Conduct data validation and data quality checks to ensure accuracy, completeness, and … we are looking for versatile team members, capable of successfully executing a diverse array of data-driven projects. This includes expertise in agile delivery, requirements gathering, data analysis, stakeholder management, governance, and compliance. Your Profile We are looking for candidates who bring a combination of technical expertise, consultancy experience, and leadership skills to excel in this role. The ideal 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 ❯

and warehouse subject areas (TSA/WDA) for accurate reporting. Work closely with business stakeholders, functional leads and technical teams to identify reporting needs. Provide governance around report development, metadata management and version control. Optimize performance of BI reports and ensure alignment with data security and compliance policies. Mentor and support teams in self-service BI capabilities across … Fusion Cloud BI/Reporting. Expertise in Oracle OTBI, BI Publisher, Smart View, Oracle Analytics Cloud. Deep understanding of Fusion subject areas and database structures. Experience in data modeling, metadata and management and KPI Design. Proficiency in SQL, XML and Excel-based reporting tools. Familiarity with Fusion role-based security and data access setups. Strong analytical, communication and More ❯

SQL Server) to cloud-native solutions. Ability to communicate complex technical concepts to senior business stakeholders , influencing decision-making and strategic direction. Deep knowledge of data modelling, data integration, metadata management, and governance frameworks. Experience working in agile, cross-functional teams in large enterprise environments. Familiarity with modern data stack tools and practices (e.g., dbt, Airflow, CI/ More ❯

Month Rolling A global IT consulting firm is seeking an experienced Informatica IDQ Administrator to support a leading financial services client as part of a business-critical data management programme. This is an excellent opportunity to work in a cutting-edge environment delivering enterprise-level data governance and quality solutions. Key Responsibilities: Installation, configuration, upgrade, and administration of Informatica … EDC, and Axon. Troubleshooting and technical support for IDQ, EDC, and Axon platforms. Manage data profiling, scorecard creation, reference tables, and data quality metrics. Implement Data Catalog, Data Lineage, Metadata Management, and Data Governance standards. Integration with enterprise systems including SSO, ServiceNow, and other third-party platforms. Performance tuning, capacity planning, and environment optimization. Collaborate with infrastructure teams … line utilities. Solid experience with AWS services (EC2, RDS, S3, Route 53, etc.). Expertise with Oracle and MS SQL Server databases. Demonstrated experience in enterprise data governance and metadata management. Ability to analyze and resolve complex technical issues. Strong stakeholder management and communication skills. Desirable: Informatica IDQ Developer/Admin certification. Experience with ETL, Active Directory integration More ❯

. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

. Uphold data integrity, security, and quality across systems. Define and advocate for best practices in data modelling standards and methodologies. Support data governance, data lineage, and master data management (MDM) initiatives. Conduct data profiling and remediate data quality issues proactively. Skills & Experience Proven experience in conceptual, logical, and physical data modelling in enterprise environments. Proficient in data modelling … tools, especially ERWIN , with a strong command of ER diagram development. Skilled in requirements gathering, analysis, and documentation for engineering implementation. Familiarity with data governance frameworks, metadata management, and data quality best practices. Strong communication and stakeholder management skills, able to work across technical and non-technical teams. Hands-on experience with Databricks . Analytical thinker with More ❯

and on-prem systems. Lead the development of data models , lineage , and governance frameworks that ensure data trust, accuracy, and traceability. Define architecture standards for data integration , master data management , and metadata strategy . Support key programmes like ITSM (ServiceNow) and back-office platform migrations , ensuring the right data gets to the right place at the right time. More ❯

and non-technical teams Nice to have: Experience with Power BI or similar BI tools Familiarity with CI/CD practices in data environments Exposure to data governance and metadata management 🎁 What’s in It for You: Salary from £50,000 to £65,000 depending on experience Discretionary bonus 4% employer pension contribution 25 days holiday (plus bank More ❯

with project managers and stakeholders, translating technical concepts for non-technical audiences. Run client advisory sessions and online enablement workshops focused on modern data tools, including Power BI and metadata-driven solutions. Provide guidance and mentoring to junior team members on project delivery standards and best practices. Data Engineering & Infrastructure: Develop and maintain scalable data pipelines and integration solutions … using modern cloud technologies. Identify opportunities for reuse of data flows across projects and teams. Ensure data quality, integrity, and performance optimisation throughout the data lifecycle. Design and manage metadata repositories, supporting metadata-driven ETL frameworks. Systems Integration: Ensure seamless integration between multiple data platforms and business systems. Troubleshoot and resolve data flow and system issues, collaborating closely More ❯

for infrastructure and orchestration Purview (and similar tools) for data governance and cataloguing 🧩 What You’ll Do: Lead the development and implementation of data quality , governance , and master data management (MDM) frameworks Define and enforce standards for data classification , lineage , and metadata management Collaborate with Data Engineers to ensure robust data pipelines and warehouse architecture Evaluate and … key stakeholder in shaping how data is trusted, accessed, and used across the organisation ✅ What We’re Looking For: Proven experience in enterprise data governance , data quality , or data management roles Knowledge of Snowflake , Azure , and modern data platforms Strong understanding of data profiling , data migration , and pipeline integration Familiarity with data classification models , lineage tracking , and metadata 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 ❯

our new Data Systems Lead, you will take on technical ownership andmanagement of data function owned servers, software (on-prem and cloud) and associated licenses to support enterprise data management activities such as data modelling, metadata management, data lineage, master data management, BI reporting, data quality management, data provisioning, privacy management etc. These include … ownership, maintenance, development and troubleshooting of data function owned software, servers and licenses ensuring the smooth operation of software needed to deliver an effective and robust modern-day data management service. Experience in, or a strong understanding of, technical maintenance of enterprise servers and software, as well as a solid understanding of cloud-based software management, are requirements … business Objects. Deployment of on-prem and cloud based software A good understanding of visualisation tools such as Power BI and Tableau Awareness of MDM tools (such as STIBO), Metadata Management tools (such as Erwin DI Suite), Data Modelling tools (such as Erwin Data Modeler) and Data Privacy tools (such as OneTrust) Active Directory and LDAP integration Supporting 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 ❯

models to ensure accuracy and alignment with business requirements. Collaborate with data architects and stakeholders to deliver scalable, future-proof data solutions. Support data governance, lineage, and master data management (MDM) initiatives. Conduct data profiling to identify and address data quality issues. Key Skills & Experience Proven expertise in developing and managing complex data models. Strong knowledge of data modelling … tools, techniques, and database management systems. Experience designing and implementing robust database solutions. Familiarity with data governance, metadata management, and data quality frameworks. Ability to translate business requirements into effective data models. Excellent communication and stakeholder engagement skills. Strong analytical mindset with a structured, problem-solving approach. Hands-on experience with Microsoft Azure and Databricks is essential. 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 ❯

business value through data by refining processes and improving the agility and quality of delivery. Supporting the adoption and optimisation of tools such as Alation for data cataloguing and metadata management. Working closely with business and technical stakeholders to ensure our data models are of the highest quality and fit for purpose. What you'll have: Extensive experience in More ❯

hit our SLAs. Creating helpful scripts, tools, and knowledge bases for common issues. Bonus Points: Experience with API tools like Postman and scripting in PowerShell. Knowledge of ITIL, incident management, and tools like HubSpot Service Tool. Comfortable working in Agile or hybrid delivery setups. Any exposure to Microsoft Fabric is a plus. Leading the Team You’ll also lead More ❯

data across the organization is consistent, reliable, and governed effectively. You’ll develop and implement frameworks for data quality, governance, and master data management. You will ensure the effective management of data warehouse architecture, pipelines, and support data migrations using a combination of Snowflake and Microsoft Azure technologies. Salary and Benefits Competitive salary of £70k - £75k (DOE) Hybrid working … pipelines and data models to ensure that data governance and quality rules are seamlessly integrated. Support data migrations to new platforms ensuring smooth transitions and data integrity. Master Data Management (MDM): Define and implement MDM processes to standardize key domains like customer, vendor, product, and location data across the organization. Data Profiling and Quality : Lead efforts in data profiling … legal and regulatory requirements. Data Lineage and Documentation : Define and maintain data lineage to provide transparency into data flows and transformations across systems and departments. Critical Data Element (CDE) Management : Define and manage CDEs and establish governance processes around them to prioritize data quality. Data Migration Support : Ensure data migrations (e.g., from legacy systems are carried out with full More ❯