1 to 25 of 165 Metadata Management Jobs in England

Proven experience in Capital Markets, particularly in trade and market data (e.g., OTC derivatives, pricing, trade lifecycle). Expertise in data governance, metadata management, data quality, and data access management. Job Title: Market Data Lead - Data Governance & Transformation Location: London, Cheapside Remuneration: £100,000 - £120,000 base plus … Data Governance & Transformation team. In this role, you will be responsible for managing and leading data governance initiatives for Market Data, ensuring robust data management processes across the organization. You will work closely with business, technology, and data stakeholders to drive excellence in metadata management, data quality ...

administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data … analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency ...

administration processes. As data analyst you will also support data quality initiatives to automate data quality checks and drive continuous improvement to enhance data management skills and improve data quality skills to learn to conduct data profiling, and resolve data discrepancies to ensure data accuracy and consistency. As data … analyst you will gain expertise in metadata management, data governance policies, and procedures, ensuring compliance and data accountability. Key Responsibilities Data Administration: Administer and maintain master data and other critical datasets (e.g., customer, vendor, material, finance in SAP ECC and other enterprise systems). Ensure data consistency ...

trust our deep experience and proven approaches - all around the world. Job Summary: The Data Solution Architect is a senior role within the Data Management Practice responsible for shaping, designing, and articulating data solutions that deliver measurable business value for our customers. This role focuses on translating business challenges … business processes, and integration points across SAP ERP or S/4HANA. Broad understanding of modern data architecture concepts such as data governance, metadata management, data quality management, and master data strategy. Awareness of AI-assisted data tooling, automation patterns, and process optimisation approaches. Customer & Value Orientation ...

technical delivery and stakeholder engagement. While you will collaborate closely with other Analytics Engineers, Data Engineers, and Analysts, this role does not include line management or team leadership responsibilities. Key Responsibilities Stakeholder Engagement & Requirements Work with stakeholders and delivery teams across the GDS-aligned programmes and complex public-sector … source systems, including combining multiple data sources into conformed analytical models. Ensure data models are interoperable with other datasets to support reuse and scalability. Metadata, Quality & Standards Design and contribute to appropriate metadata repositories, suggesting improvements to existing metadata management approaches. Use a range of tools ...

contractual obligations. Governance and Compliance: Ensure data architecture complies with internal governance policies and external regulations (e.g., GDPR). Support data stewardship and metadata management initiatives. Performance and Optimization: Monitor and optimize data architecture for performance, cost-efficiency, and reliability across cloud and on-premises systems. Documentation … governance, public-cloud platforms (Azure, AWS, GCP) , SQL Server, data integration with third-party systems, ideally Microsoft Fabric Experience with data modelling and metadata management Relevant degree or post-graduate qualification, ideally certification in Cloud Architecture and Data Management Strong data modelling and data architecture, cloud-native ...

hybrid role, requiring 3 days per week in the Warwick office. You will work with subject matter experts and stakeholders to ensure effective information management, governance, and compliance across multiple domains. Key Responsibilities: Information Modeling & Design: Develop information model diagrams using UML class notation for static and integration data … Governance & Compliance: Implement governance frameworks and support governance activities. Support the implementation of policies, standards, and guidelines related to data legislation and compliance. Knowledge & Metadata Management: Organize knowledge assets and manage their lifecycle (identification, classification, storage, maintenance). Enable users to find information through effective metadata ...

Lead – Data Specialist Contract: 6 months contract Location: London Hybrid 2 days in office Department: Data & Analytics Reports to: Lead, Metadata & Data Management About the Role We are hiring a Lead – Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data, data … sourcing, data lineage, and integrating data management tooling to support a new enterprise data platform. You will lead the development of business-critical data management capabilities, ensuring data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations ...

Lead – Data Specialist Contract: 6 months contract Location: London Hybrid 2 days in office Department: Data & Analytics Reports to: Lead, Metadata & Data Management About the Role We are hiring a Lead – Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data, data … sourcing, data lineage, and integrating data management tooling to support a new enterprise data platform. You will lead the development of business-critical data management capabilities, ensuring data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations ...

Lead - Data Specialist Contract: 6 months contract Location: London Hybrid 2 days in office Department: Data & Analytics Reports to: Lead, Metadata & Data Management About the Role We are hiring a Contractor Lead - Data Specialist to drive new data capabilities. This pivotal role involves building and operationalising reference data … data sourcing, data lineage, and integrating data management tooling to support a new enterprise data platform. You will lead the development of business-critical data management capabilities, ensuring data is trusted, well-defined, and meets organisational standards. This is a key opportunity to shape the data foundations ...

improve data quality, accessibility and value. Key Responsibilities Partner with Data Stewards to understand data needs and chair governance forums Manage and curate metadata within enterprise Data Management Technology (DMT) Design and maintain data catalogue content, metadata models, lineage and business processes Analyse business processes to identify … data management improvements Develop user stories, use cases and functional requirements; manage and prioritise backlogs Conduct gap analysis and support user acceptance testing Create and maintain data governance documentation (business glossary, data dictionary, reference data) Deliver training and support adoption of data governance tools and standards Define data domains ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide … BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast-paced and dynamic environment. Collaborative, proactive, and able to provide strong ...

with Databricks. Data Engineering & Platform Build Build and optimize large-scale ETL/ELT pipelines using PySpark, SQL, and Delta. Oversee data quality frameworks, metadata management, lineage, and monitoring. Leadership & Stakeholder Engagement Work closely with business leaders and product teams to translate requirements into robust technical solutions. Guide … BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast-paced and dynamic environment. Collaborative, proactive, and able to provide strong ...

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 ...

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 ...

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 ...

well thought out solutions with longevity in mind. · Quality Assurance & Best Practice: Establish and enforce data engineering standards, best practice, reusable frameworks. Quality assurance management through data engineering pipelines, ensuring both quality and performance of solutions. · Continuous Improvement: Stay up to date with the latest developments in technology changes … dimensional models in the gold layer built for analytical use Strong understanding and or use of unity catalog alongside core databricks functionality to drive metadata management Strong understanding of cloud economics, including cost management strategies and optimising solutions for customer needs.Experience with infrastructure as code, proficiency using ...

architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both … implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. ...

architecture, design, and delivery of scalable, secure, and high-performing data products. This role acts as a strategic bridge between data engineering, analytics, product management, and business stakeholders to define and implement data product solutions that are technically sound and aligned with business goals. The ideal candidate is both … implement scalable and performant data solutions in complex environments. Experience working in cross-functional teams using agile or product-centric delivery models. Strong stakeholder management and communication skills, with the ability to align technical decisions with business goals. Preferred Qualifications: Experience with data product thinking or data mesh principles. ...

with Azure services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub. * Implement data quality validation, monitoring, metadata management, and governance processes. * Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements. * Optimize Databricks clusters, jobs, and runtimes ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine ...