6 of 6 Metadata Management Jobs in the Thames Valley

framework and policy, establishing data ownership. The role will collaborate with colleagues across the business on the implementation and enduring support required for effective metadata management, safe and easy access to data, data quality monitoring, and data quality issues management. MAIN RESPONSIBILITIES Support the development and implementation … challenges to enable a strategic and value adding Data Governance approach. Work with business areas/data domains to help them establish effective metadata management using the approved data catalogue tool. Assist in Data Governance team led metadata enrichment activities to ensure the data catalogue contains valuable ...

accuracy and consistency is aligned with business expectation. Supporting Data cleansing and enrichment tasks as well as contributing and collaborating to SAP teams. Supporting metadata management whilst collaborating with the wider business on data ownership, stewardship and maintenance. Ensuring data is structured and standardised with governance policies. Conduct … master data in SAP ECC. Exposure: SAP S/4HANA, SAP Datasphere, SAP MDG. Data Governance & Quality Tools: Tools: Collibra, Talend, Snowflake, PowerBI. Knowledge: Metadata management, data lineage, cataloguing. Technical Skills: Proficiency: SQL, data analysis tools. Experience: Data integration, ETL processes. Familiarity: Data visualization tools (Power BI, Tableau ...

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 ...

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 ...

efficient, well-governed data models. Your leadership will be key in identifying gaps, driving improvements, and implementing best practices in dimensional modelling, normalization, and metadata management. A strong understanding of the Insurance domain—including Specialized Insurance, London Market operations, and Regulatory Data—is essential. You will apply this domain … data architecture principles and data governance. •Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). •Excellent communication and stakeholder management skills. Preferred •Experience with ETL tools and data integration processes. •Familiarity with data warehousing concepts and cloud data platforms. •Exposure to Fivetran, SSIS, or Snowflake ...