26 to 50 of 86 Metadata Management Jobs in the UK

Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. NICE TO HAVE: Background in data management, engineering, or database administration . Experience with metadata management and master data management (MDM) tools. Understanding of … this role, you are giving express consent for us to process (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS: Data Management | Python | SQL | Airflow | dbt | GCP | AWS | Data Architecture | Kafka | Governance | Data Quality | Cloud Data Platforms More ❯

Data Management Specialist (Purview) Location: Hybrid (with some presence required at Bournemouth office) Contract: 12-month Fixed Term Contract Salary: £68,0000 - Bonus, PHC, double match pension, 38 days holiday Are you ready to shape the future of data in financial services? We're looking for a passionate Data Management Specialist to lead a greenfield implementation of Microsoft … Purview and help drive an enterprise-wide data transformation. This is an exciting opportunity to embed best-in-class data practices and governance across a dynamic organisation. Data Management Specialist (Purview) What You'll Do Lead the greenfield implementation of Purview and support migration to Microsoft Fabric . Develop and deliver a Data Management roadmap , introducing capabilities such … as Metadata Management, Data Lineage, Business Glossaries, and Data Dictionaries. Champion Data Ownership and Stewardship communities and drive a Data Literacy programme . Collaborate with IT, compliance, and business teams to ensure data quality, consistency, and compliance. Define and implement data management strategies aligned with regulatory frameworks (e.g., GDPR, BCBS 239). Act as a technical advisor More ❯

ASSISTANT VP DATA GOVERNANCE Permanent position - Hybrid with 4 working days on site.You must have banking experience and do not require sponsorship.Reporting to the data process management team.The role is to support UK operations in delivering data governance. The main responsibilities include the management of metadata, data lineage, data protection, data quality, data standards, and their policy … and monitoring their implementation to ensure all data standards are complied with and to achieve high data quality; to act as the 2LOD role for IT risks including Data Management Risk, Information Security Risk (including Cyber) and Technology Risk, be responsible for defining the relevant key controls, overseeing and challenging the effectiveness of control measures.Responsibilities: Develop Data Protection and … to the data governance program. Support all departments and business lines in making recommended changes, including helping to resolve any data related issues. Assist with various reports required by management, auditors or regulators. Carry out any ad hoc tasks assigned by the Head of Data and Process Management Office Participating in the lifecycle management of data, including More ❯

Senior Data Management Professional - Data Product Owner - EVTS Location London Business Area Data Ref # Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and … structured execution rigor while bringing creativity and flexibility to problem-solving. Influence and align partners, communicating data vision, strategic priorities, and execution plans across cross-functional teams. Establish vendor management frameworks, negotiating contracts, optimizing pricing strategies, and ensuring vendors deliver on cost, quality, and service expectations. Drive automation initiatives for EVTS Calendar Data, building partnerships with global exchanges and … candidates who are able to demonstrate the skills necessary for the role. Bachelor's Degree or equivalent professional work experience. 4+ years of proven experience in product ownership, data management, or similar roles. Strong understanding of speech-to-text/ASR technology and experience evaluating model performance, quality metrics, and backtesting frameworks. A solid grasp of data management More ❯

Data Management Associate Manager Location: Edinburgh Salary : Competitive salary package depending on experience Career Level: Associate Manager 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 … 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 Associate 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. As a Data Management Associate Manager, you will lead the implementation and optimisation of More ❯

to meet the highest safety standards, and we pride ourselves on our ability to adapt to the constantly evolving aviation environment. The Role The Head of Information and Data Management is a senior IT Leader who bears responsibility for the CAA's enterprise-wide data and information strategy, governance, control, policy development, and effective exploitation. Core Accountabilities Work with … the CEO, the CIO and other ExCo members to establish vision, and to create a culture that treats data as a cross-corporate asset and evangelise for the effective management and exploitation of data. Lead the Information management team Lead the progression of the CAA's Data Strategy Be the corporate leader of data insights that help drive … for a data-driven, decision-making culture. Develop and maintain controls on data quality, interoperability and sources to effectively manage corporate risk. Define, manage, and control master data and metadata management policies, controls, and standards, including reference data. Manage controls for the appropriate protection of enterprise information assets through a defined life cycle from acquisition or creation to More ❯

and reliability. What You Bring Essential Skills Java Development: 3–5 years of hands-on experience in Java development, particularly in data-intensive environments and building data products. Database Management: Background in managing both SQL and NoSQL databases. Version Control & CI/CD: Knowledge of version control (Git) and CI/CD practices for data pipeline deployment and Exposure … workflow/orchestration tools (e.g., Airflow, Dagster, Prefect). Cloud-based Data Services: Exposure to cloud-based data services (GCP preferred; AWS/Azure also considered). Data Lineage & Metadata Management: Understanding of best practices. Data Governance & Compliance: Awareness of data governance and compliance principles (GDPR, ISO27001). SaaS/API-driven Environments: Background in SaaS/API More ❯

to collaborate across teams. Preferred Qualifications Experience with Databricks Unity Catalog and Delta Live Tables. Familiarity with streaming frameworks (Structured Streaming, Kafka, etc.). Background in data observability and metadata management. Exposure to machine learning pipelines or MLflow within Databricks. Knowledge of infrastructure as code (IaC) using Terraform or similar tools. To apply for this role please email across More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

reference architecture into solution design across domains (Commercial, Supply Chain, Enabling Functions). Partner with domain architects, integration, and cybersecurity teams to ensure alignment of data flows, controls, and metadata management. Support the Architecture Review Board (ARB) and data governance forums with clear, structured design artefacts. Governance & Standards Define and maintain solution patterns for data ingestion, transformation, analytics, and … sharing. Ensure adherence to enterprise data principles (trust, ethics, compliance, and privacy). Champion use of core platforms and common components to reduce data fragmentation and duplication. Collaboration & Stakeholder Management Work closely with business data owners, product teams, and data engineers to co-design pragmatic and value-driven data solutions. Partner with the Data Tower and Platform Engineering to … Databricks, SAP, Salesforce, Informatica, Collibra Skills and expeirence: Essential Proven experience designing enterprise-scale data and analytics solutions across hybrid cloud environments. Strong understanding of data modelling, data integration, metadata management, and data governance. Experience with modern data platforms such as Azure Data Lake, Databricks, Power BI, and SAP BTP. Solid grasp of enterprise integration patterns (APIs, streaming More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

Data Management & AI Governance Expert (Capital Markets) Location: London - City (Hybrid - 3 days per week in office) Employment Type: Full-time, Permanent Salary: £80,000 - £90,000 per annum plus benefits, perks and healthcare options Note: Must Have Capital Markets Experience! About the Role We are seeking a Capital Markets Data Management & AI Governance Specialist to join a … glossaries, and implement robust data quality frameworks Identify and manage internal and external data sources, ensuring strong access and sharing controls. AI & Technology Enablement Build tools and processes for metadata management, data quality, and data sharing. Leverage AI and automation tools to improve data governance capabilities. Use Python, SQL, PySpark, Power BI, and related tools for data processing More ❯

and other enterprise database platforms Cloud Architecture: Experience with Azure data services (Azure Data Factory, Azure Synapse, Azure Data Lake) Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing More ❯

and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on More ❯

and CI/CD for data pipelines. BI/Visualisation: Familiarity with BI and visualisation tools such as Tableau, QuickSight, or similar. Data Governance Tools: Experience with data cataloguing, metadata management, and data lineage tools. Contextual Understanding: Passionate about data quality, governance, and understanding the business context behind the data. This role is London-based and operates on More ❯

+ 10% bonus + exceptional benefits plus hybrid working to be based in London on a full-time basis (sponsorship approved).You’ll be responsible for delivering data management, AI assurance, and analytics audits , helping clients to design and embed strong data and AI governance frameworks. You’ll also lead the use of AI and analytics tools to automate … and enhance internal audit processes - improving efficiency, accuracy, and insight.This is an exciting opportunity for a proactive leader who thrives at the intersection of data, AI, and risk management , and wants to shape the future of audit within a fast-evolving digital landscape. Plan, lead, and deliver data management, AI, and analytics audits for clients across multiple sectors. … Provide advisory services - designing and implementing data and AI governance frameworks and practical, proportionate controls. Define and assure compliance against data and AI standards, including data quality, lineage, and metadata management. Help build and expand the data and internal audit practice , developing new propositions that meet client and market needs. Drive business development , building trusted client relationships and contributing More ❯

positive difference to the lives of our clients, customers, colleagues, shareholders, and society. We are focused on growing our direct and advised wealth platforms and repositioning our specialist asset management business to meet client demand. We are committed to providing excellent client service, supported by leading technology and talent. Aberdeen comprises three businesses, interactive investor (ii), Investments, and Adviser … market, through either public markets or alternative asset classes. About the Department As an Engineer (Data Platforms), you will be a member of the Development Chapter within the Asset Management Tribe, reporting to the Development Chapter Lead and working as part of a cross-functional team. You will contribute to the design, development, and support of systems that are … and pipelines that underpin our investment data products. These products are central to many of the initiatives within the Tribe and are used across the organisation to support portfolio management, analytics, and regulatory reporting. As such, we are looking for engineers who can hit the ground running - with the ability to quickly understand investment data, navigate complex data flows 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 ❯

policies. Qualifications & Experience • Working knowledge of data architecture and implementation of governed data solutions using Microsoft Purview, Azure, Databricks, Python, DevOps, Unity Catalogue, Data Factory, and RDBMSs. Experience with metadata management, lineage tracking, and automation tools for governance workflows. • Experience in designing and maintaining end-to-end data architectures, including OLTP and OLAP models, ETL pipelines, data lakes … orchestration frameworks, and reporting platforms. Exposure to CI/CD pipelines and monitoring practices in data engineering. • Ability to apply best practices in data lifecycle management, covering ingestion, transformation, reporting, archival, and decommissioning. Familiarity with data quality frameworks and secure data handling protocols. • Good understanding or strong interest in supporting data governance programs using frameworks like DAMA DMBOK and … internal governance strategies. Experience implementing governance controls in regulated sectors such as banking, reinsurance, or insurance. • Ability to ensure secure data management by applying information security principles and working with relevant technology stacks, including data encryption and key vault management. Strong understanding of data privacy regulations and international standards. • Ability to collaborate on audit and risk management efforts More ❯

principles. Proficiency in SQL and Python for data transformation and automation. Experience working with version control (e.g., Git) and CI/CD for data solutions. Familiarity with data governance, metadata management, and data security best practices. Excellent problem-solving, communication, and collaboration skills. Organisation: Initial Contract - 3-6 months Day Rate - Outside IR35 London (Hybrid working) Robert Half More ❯

engineers. Excellent problem-solving skills and experience in agile environments. Desirable: Experience with streaming data (Kafka/Kinesis), Docker/Kubernetes, Terraform, CI/CD pipelines, NoSQL databases, and metadata management tools. Company Benefits: Enhanced Parental Leave Generous annual leave Healthcare Plan Annual Giving Day - an extra day to give back to yourself or your community Cycle-to More ❯

OPC UA, MQTT, REST. Design and manage data lakes, warehouses, and streaming platforms for predictive analytics, digital twins, and operational intelligence. Define and maintain asset hierarchies, semantic models, and metadata frameworks for contextualized industrial data. Implement CI/CD pipelines for data workflows and ensure lineage, observability, and compliance across environments. Collaborate with AI/ML teams to support … model training, deployment, and monitoring using MLOps frameworks. Establish and enforce data governance policies, stewardship models, and metadata management practices Monitor and improve data quality using rule-based profiling, anomaly detection, and GenAI-powered automation Support GenAI initiatives through data readiness, synthetic data generation, and prompt engineering. Mandatory Skills: Cloud Platforms:Deep experience with AWS (S3, Lambda, Glue More ❯

experienced Collibra Developer/Collibra Technical SME to join a major enterprise data governance programme. This role focuses on designing, building and optimising solutions across the Collibra platform, supporting metadata management, data lineage and reference data capabilities. You will work closely with data owners, stewards and technology teams to ensure the Collibra environment runs efficiently, delivers high-quality … metadata, and integrates seamlessly with the wider data ecosystem. Key Responsibilities Design and configure Collibra operating models, domains, communities and asset types Develop Collibra workflows using BPMN, Groovy and Java APIs Implement metadata ingestion, lineage integrations and custom API/SDK automation Configure and support Collibra Edge, metadata harvesting and ingestion pipelines Integrate Collibra with ETL/… SQL skills and experience with major databases (Oracle, PostgreSQL, DB2, BigQuery) Experience with ETL/ELT tools (e.g., Informatica, DataStage) and BI tools (Qlik, Power BI) Good understanding of metadata standards, lineage, reference data and business glossaries Exposure to cloud environments (AWS, GCP, Azure) Desirable Collibra Ranger/Expert certification Experience delivering Collibra solutions in large, complex organisations If More ❯

design authority, providing architectural assurance across data and AI domains within the programme Lead integration and interoperability strategy between enterprise platforms (e.g., ServiceNow, Microsoft Fabric, Azure) Drive adoption of metadata management, lineage, and governance tooling, such as Microsoft Purview Align architecture with operational use cases to deliver measurable improvements in service delivery and analytics Requirements Essential: Proven experience … Microsoft Fabric and/or Databricks in operational or data platforms Demonstrated ability to integrate AI components (e.g., ML pipelines, predictive analytics) into production environments Familiarity with enterprise service management tooling, particularly ServiceNow In‐depth knowledge of metadata, lineage, governance, and data security frameworks Strong communication and stakeholder engagement skills across technical and non‐technical audiences Desirable: Experience More ❯

The Role Job level: 10 Were looking for a Lead Data Engineer to join our Data Engineering and Analytics practice. In this role, you will: Lead the design, development, management and optimisation of data pipelines to ensure efficient data flows, recognising and sharing opportunities to reuse data flows where possible. Coordinate teams and set best practices and standards when … specialists. Problem-solving responsibility : Solves highly complex problems, balancing technical, user, business, and operational needs. Applies expert judgement to make decisions, manage risks, and guide teams through ambiguity. Change management requirements: Leads or co-leads significant change initiatives. Responsible for managing stakeholder expectations, supporting adoption, and embedding sustainable ways of working. Internal/External interactions: Acts as a trusted … products and support others to do the same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control, and infrastructure More ❯