1 to 25 of 372 Metadata 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 More ❯

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 More ❯

About The Role About the Role We have an exciting new opportunity for a new a Data Management Specialist. You will be involved in delivering our Data Strategy, mature our Data Management capabilities and support our Microsoft Fabric and Purview More ❯

is responsible for hands on design and delivery of the tooling for Data Management – e.g. Data Catalog, Data Quality, Data Lineage. This includes configuring pipelines and connectors to ingest metadata, classify data, and establish data elements within a Business Data Catalog enabling additional data governance activities such as data quality and data lineage. The manager will be hands on and … responsible for tooling related to metadata management, data quality management, reference data management, master data management, amongst others. This role will also support use case development leveraging data elements/attributes through hands on data profiling and data discovery. Main duties and responsibilities Implement comprehensive data cataloging for appropriate data attributes Connect the orchestration and integration of data catalog tooling … effectively Experience developing technical and business lineage Experience developing data quality rules and profiling of data quality using DQ tooling In-depth experience with data management tooling for managing metadata, data quality, reference data and master data amongst others Strong project management skills, with the ability to lead projects from inception to completion Excellent communication skills for interacting with various More ❯

and data governance Implement data quality monitoring and alerting processes. Work with data governance teams to ensure compliance with data governance policies and standards. Implement data lineage tracking and metadata management processes. Collaboration & Communication: Collaborate closely with data scientists, economists, and other technical teams to understand data requirements and translate them into technical solutions. Communicate technical concepts effectively to both More ❯

and building enterprise wide and platform conceptual, logical and physical models. Proficient in leading small teams of architects/data modellers. Demonstrate a good understanding of data integration tools, metadata repository tools and their use. Appreciation and awareness of the latest concepts around Big Data and its application in Analytics architectures and solutions. A good understanding of Master Data Management More ❯

ensuring data quality, integrity, and security across Power BI solutions. Collaborate with theData Governance teamto maintain areport catalogue, data dictionary,and data lineage, leveraging tools likeAtaccama(or similar) for metadata management. Implement role-based access controls, manage row-level security (RLS), and adhere to data privacy regulations and internal policies. Performance Monitoring & Optimization Monitor and optimize Power BI report performance 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 manage the … 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 … Spark SQL. Good working knowledge of data warehouse and data mart architectures. Good experience in Data Governance, including Unity Catalog, Metadata Management, Data Lineage, Quality Checks, Master Data Management. Experience using Azure DevOps to manage tasks and CI/CD deployments within an Agile framework, including utilising Azure Pipelines (YAML), Terraform, and implementing effective release and branching strategies. Knowledge of More ❯

lake architecture for high-performance analytics. ETL/ELT pipeline development and optimisation to support large-scale data processing. Data integration across structured and unstructured sources, ensuring high availability. Metadata management and governance to maintain data quality and lineage. Deep expertise in Microsoft Azure cloud services, particularly for data analytics and engineering Databricks, including Delta Lake architecture, optimisation, and advanced More ❯

for efficiency and accuracy. You will provide expert guidance and advisory services to clients on a wide range of data management topics, including data governance frameworks, data quality policies, metadata management strategies, and master data management (MDM) solutions. You will provide strategic direction and leadership in Data Management, providing strategic and implementation consultancy in areas like Data Governance, Data modelling More ❯

data-related issues. Maintain, monitor, and improve data management systems, ensuring compliance with governance policies and regulatory requirements. Support the implementation of data quality frameworks, data lifecycle management, and metadata management initiatives. Work collaboratively with IT teams, business stakeholders, and external vendors to enhance data management capabilities. Provide expert-level troubleshooting, root cause analysis, and performance optimisation for data platforms … in Level 3 support or equivalent. Hands-on experience with database technologies (Azure landscape, Oracle, PostgreSQL, etc.). Industry certifications in professional data management, cloud platforms (AWS, Azure, GCP), metadata management, or database administration (e.g., Microsoft Certified: Azure Data Engineer Associate, DAMA CDMP) are desirable. Proven experience with ETL tools, data integration, and API-based data exchange. Strong background in … data governance, data quality management, and metadata management. Experience with ServiceNow, Azure Purview, and master data management tools such as Profisee, CluedIn, or Semarchy. Personal Attributes: Deep understanding of relational and non-relational database architectures, indexing strategies, and performance tuning. Strong analytical and problem-solving skills for troubleshooting complex data issues. Knowledge of data governance frameworks (DCAM, DAMA DMBOK, ISO More ❯

data quality, integrity and compliance with governance policies and regulatory standards Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security Develop and maintain data lineage, metadata and architecture documentation Support reporting and analytics initiatives by ensuring data availability and consistency across systems Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

quality, integrity, and compliance with governance policies and regulatory standards. Work with enterprise architects, DBAs, and infrastructure teams to optimize data performance and security. Develop and maintain data lineage, metadata, and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration solutions using tools such as OIC (Oracle Integration Cloud More ❯

Factory, SSIS, and Azure Data Platform. Knowledge of Microsoft D365 Finance & Operations and Customer Experience modules. Familiarity with Fabric, Azure Synapse, and data management practices including governance, quality, and metadata management (MS Purview). Relevant Microsoft certifications such as PL-300 (Power BI Data Analyst Associate) or DP-600 (Fabric Analytics Engineer Associate) are a plus. This role offers an More ❯

TSA (Springfield, VA). Roles/Responsibilities: Design and implement logical and physical database structures for enterprise applications and data warehouses. Develop and maintain data models, ER diagrams, and metadata repositories. Create, tune, and monitor database objects such as tables, views, indexes, stored procedures, and triggers. Optimize SQL queries and database configurations to ensure high availability and performance. Collaborate with More ❯

data quality, integrity and compliance with governance policies and regulatory standards. Collaborate with enterprise architects, DBAs and infrastructure teams to optimize data performance security. Develop and maintain data lineage, metadata and architecture documentation. Support reporting and analytics initiatives by ensuring data availability and consistency across systems. Assist in designing data integration using tools such as OIC (Oracle Integration Cloud), Oracle More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

conceptual, logical and physical data models to provide structured view of data domains, entities, and their relationships. Data Documentation: Create and update data dictionaries, entity-relationship diagrams (ERDs), and metadata to ensure clarity and consistency. Stakeholder Collaboration: Collaborate closely with business stakeholders to understand data requirements and translate them into structured data models that meet business needs. Data Governance Alignment More ❯

and interpersonal skills Good to Have: 1–2 years of experience working with Azure Data Explorer (including row-level security and access controls). Experience with Azure Purview for metadata management, data lineage, governance, and discovery Ability to work independently and take full ownership of assignments Proactive in identifying and resolving blockers and escalating when needed Exposure to real-time More ❯

Understand program requirements and collaborate with clients to craft solutions. Plan and supervise project activities. Your Skills and Experience Experience with Ab Initio, including Co>OP, GDE, express>It, Metadata hub, and Authorization Gateway software. Good understanding of Ab Initio concepts like checkpoints, parallelism, and dynamic layouts. Knowledge of Google Cloud Platform offerings for designing cloud-based Ab Initio platforms. More ❯

coordinate, and supervise all activities related to the project implementation. Your Skills and Experience Experience with Ab Initio: Extensive experience working with Ab Initio Co>OP, GDE, express>It, Metadata hub, Authorisation Gateway software. Good understanding of Ab Initio concepts like checkpoints, parallelism, graph dynamic layouts. Continuous Flows in Ab Initio. Good knowledge of the Google Cloud Platform offerings, storage More ❯

Ability to diagnose issues and implement efficient solution Experience implementing Databricks Unity Catalog for data governance, access control, and lineage tracking. Understanding of Azure Purview for data cataloging and metadata management. Familiarity with object-level and row-level security in Azure Synapse and Databricks Experience working with Azure Event Hubs, Azure Data Explorer, or Kafka for real-time data streaming. 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 with technical and 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 with technical and More ❯

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 … 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 process and data flow modelling. Ability to More ❯