1 to 25 of 855 Permanent Metadata Jobs in the UK excluding London

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

Support the implementation of data governance frameworks, partnering with internal stakeholders to design and implement tools for data lineage tracking, data quality monitoring, and metadata cataloguing. Drive adoption of common standards for data access, tagging, and classification in alignment with regulatory compliance, risk, sovereignty and privacy obligations. Ensure solutions adhere More ❯

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 More ❯

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 More ❯

of multiple BI projects to include scoping, analysis, cost & risk analysis for application upgrades and data migration Document objects in a data warehouse including metadata and architecture Support business process optimization efforts to improve data capture, data processing and data quality Automate and improve current processes Help to maintain data More ❯

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 More ❯

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 More ❯

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 More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data Cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills Experience More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data Cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills Experience More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience More ❯

and enterprise data architecture. Proficiency in SQL and experience working with cloud data platforms (e.g., Azure, AWS, GCP). Familiarity with data governance frameworks, metadata management, and data cataloging tools. Excellent communication and documentation skills, with the ability to explain complex data concepts to non-technical stakeholders. Preferred Skills: Experience More ❯

on-premises platforms, databases (database management studios) and how they integrate (ETL, ELT, Messaging, APIs etc.). • Experience of working with Data Governance and Metadata management tools such as Alation About the BBC The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC for different reasons More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

ETL/ELT processes, data warehousing, and data mesh architectures. Familiarity with AI/ML concepts and their application in data analytics. Experience with metadata management, data lineage tracking, and data cataloguing. Knowledge of serverless data processing, event-driven architectures, and modern data stacks. More ❯

more of the following areas: Data governance Data ethics Data modelling Data architecture Data quality Master data management Experience of data lineage, taxonomies, and metadata management Strong problem-solving and analytical thinking ability, in order to adapt to different client projects and scenarios Excellent written and verbal communication skills that More ❯

be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer More ❯

be great if you have: Azure Data Fundamentals DP-900 certification. Azure Fundamentals AZ-900 certification. Good knowledge of data governance, data quality, security, metadata cataloguing and Master Data Management. Machine Learning and AI development experience Benefits: Up to 10% bonus (based on company and personal performance). An employer More ❯

delivery of ETL/ELT processes using tools like Matillion, Informatica, or Talend, adhering to data engineering best practices and incorporating things such as metadata driven ETL approaches and near real-time data platform architectures. Innovation & Continuous Improvement You'll stay updated on the latest technologies and industry trends, leveraging More ❯

Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of data quality metrics, master data management, and metadata management. Regulatory & Risk Management: Experience in Operational risk domains including but not limited to - Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk More ❯

Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of data quality metrics, master data management, and metadata management. Regulatory & Risk Management: Experience in Operational risk domains including but not limited to - Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk More ❯

Extensive experience designing and implementing data analysis and management programs in large financial institutions. Strong understanding of data quality metrics, master data management, and metadata management. Regulatory & Risk Management: Experience in Operational risk domains including but not limited to - Data risk, Fraud risk, Tech risk, Cyber risk, Op resiliency risk More ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯

Solid understanding of database systems (SQL, NoSQL). Platform Architecture: Able to develop and implement data platform architecture (data lakes, data warehouses, data marts, metadata management) aligned with business requirements. Infrastructure Management: Able to manage and optimize cloud infrastructure (compute, storage, networking). Implement automation and orchestration tools. Key Responsibilities More ❯