1 to 25 of 159 Metadata Jobs in the UK excluding London

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 ❯

teams to embed data standards and improve adoption across the region. Key Skills and Experience: Strong experience in data governance, data quality management, and metadata practices. Proven understanding of BCBS239 and its application within a Tier 1 or Tier 2 banking environment. Familiarity with Risk and Finance data domains and More ❯

time and batch data pipelines to support fast, data-driven decision-making. Model enterprise data structures and ensure alignment across systems and teams. Document metadata, lineage, and ownership to support compliance and transparency. Collaborate closely with Data Engineers , Software Developers , and Business Stakeholders to align technical solutions with commercial needs. 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 ❯

Help foster a transparent and innovative data culture across the organisation About You Essential Skills & Experience: In-depth expertise in data governance, data quality, metadata management , and profiling Solid understanding of BCBS239 in a Tier 1/Tier 2 banking context Proven ability to communicate effectively at senior and board 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 We’re committed to providing our people with a great environment to work in. 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 ❯

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 ❯

unified access and processing. Data Governance & Stewardship: Implement robust data governance , access control , and stewardship policies aligned with compliance and security best practices. Establish metadata management, data lineage, and auditability across pipelines and environments. Machine Learning & Advanced Analytics Enablement: Collaborate with data scientists to prepare and serve features for ML 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 ❯

Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised Work closely with other data specialists and technicians in the organisation, such as Actuarial and 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 incuding but not limited to Data Risk, Fraud Risk, Tech Risk, Cyber Risk, Op Resiliency Risk More ❯

to Snowflake/Azure). Deep knowledge of data quality techniques, including data profiling, validation rules, and data remediation processes. Familiarity with data classification, metadata management, and data access governance to secure sensitive data. CDMP (Certified Data Management Professional) or DCAM (Data Management Capability Assessment Model) certification is a bonus 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 ❯

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 ❯

data models, ensuring scalability and performance Define mappings between various layers of data abstraction Facilitate data model approval through internal governance processes Assist with metadata management and register data products within a data catalog (e.g., Collibra) Apply best practices in enterprise data modelling, including use of star schemas and de More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯

platforms Owning physical data models and collaborating with BI teams on reporting layers Supporting data discovery, KPI definition, and data quality initiatives Documenting architecture, metadata, and data lineage for project transparency Driving performance optimization and issue resolution across the data stack ✅ What We’re Looking For: 5+ years of experience More ❯