101 to 125 of 805 Metadata Jobs in the UK

and cleansing activities to support accurate keying and linking. Partner with IT and business teams to ensure governance and stewardship policies are upheld across data platforms. Develop and maintain metadata and data lineage for all keying and linking components. Evaluate and recommend tools and technologies for probabilistic and deterministic matching (e.g., Informatica MDM, IBM InfoSphere, Talend, AWS Entity Resolution). More ❯

functional teams effectively. It would 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. You can expect ongoing skills More ❯

ERDs). Strong communication and teamwork skills to collaborate with cross-functional teams effectively. It would be great if you have: 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. You can expect ongoing skills More ❯

functional teams to develop solutions that accelerate cycle times, alleviate cumbersome manual processes, and ensure financial results are accurate. - Identify process improvement opportunities to drive innovation - Support dimension management, metadata design/maintenance, ETL development, and data validation processes. - Rotational on-call availability for critical systems support BASIC QUALIFICATIONS - Bachelor's degree in Information Systems, Computer Science, Finance, Accounting, Economics More ❯

ERDs). Strong communication and teamwork skills to collaborate with cross-functional teams effectively. It would be great if you have: 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. You can expect ongoing skills More ❯

optimise resource utilisation, and ensure scalable and budget-conscious data processing workflows. Provide architectural oversight for platform enhancements, integrations, and performance optimisation. Champion best practices in data architecture, including metadata management, data quality, and access control. Engage with stakeholders across business and technology to understand requirements and translate them into scalable platform capabilities. Support the onboarding of new data domains More ❯

optimise resource utilisation, and ensure scalable and budget-conscious data processing workflows Provide architectural oversight for platform enhancements, integrations, and performance optimisation Champion best practices in data architecture, including metadata management, data quality, and access control Engage with stakeholders across business and technology to understand requirements and translate them into scalable platform capabilities Support the onboarding of new data domains More ❯

principles of data modelling Re-engineer data pipelines to be scalable, robust, automatable, and repeatable Navigate, explore and query large scale datasets Build processes supporting data transformation, data structures, metadata, dependency and workload management Identify and resolve data issues including data quality, data mapping, database and application issues Implement data flows to connect operational systems, data for analytics and business More ❯

data owners and curating stewardship roles across the enterprise Champion data literacy initiatives and promote a culture of accountability around data across the organisation Design and implement processes for metadata management, data lineage tracking, and data lifecycle management Provide hands-on configuration and support of Purview (or similar tools), including metadata scanning, asset classification, glossary management, and access control Ensure … and deploy Microsoft Purview in enterprise environments, including integration with other Microsoft data services Policy & Framework Development: Experience authoring and implementing data policies, stewardship models, and governance operating models Metadata & Lineage Management: Strong knowledge of metadata standards, data cataloguing practices, and lineage documentation Stakeholder Engagement: Demonstrated ability to work across business and technical stakeholders, driving consensus and adoption of governance … with other cataloguing tools like Collibra, Informatica, or Alation is a plusFamiliarity with Microsoft Azure data services (e.g. Data Factory, Synapse, Data Lake, etc.) Understanding of modern data architectures, metadata management, and data classification standards Excellent communication and facilitation skills; capable of leading workshops and engaging stakeholders at all levels Experience working in agile, multi-vendor delivery environments Role is More ❯

Bank Technology, Global Technology, and other Lines of Business to develop innovative engineering methods. Job Responsibilities Create and maintain accurate, complete, and consistent governed Data Models with lineage and metadata to facilitate traceability to other metadata classifications such as Data Concepts. Collaborate to create, maintain, govern, and use Controlled Vocabularies and Data Sourcing Contracts with Business Partners and the Chief … and Authoritative Data Sourcing registration, JPMC Business Data Taxonomy). Contribute to the incremental delivery of the Data Strategy by moving applications towards strategic data sourcing and standardization of metadata and tooling. Standardize and innovate Operational and Analytical Data Management in accordance with Reference Architectures and Operating Models. Required qualifications, capabilities and skills Formal training or certification in Software Engineering … documentation, workshops, and meetings. Preferred qualifications, capabilities and skills Knowledge of Programming Language Design and Implementation. Understanding of core Information Architecture capabilities such as Reference Data Management, Data Quality, Metadata Management, Data Taxonomy, and Security. Experience in Financial Services, especially Wholesale and Investment Banking. Knowledge of Data Standards like SWIFT, FIX, or FpML. Certifications such as TOGAF and/or More ❯

data standards. Design data models across relational and NoSQL databases. Ensure data security, compliance, and integrity within all models. Translate business requirements into optimal data structures. Document and maintain metadata, dictionaries, and entity relationships. Support cloud-based data implementations (e.g., AWS, Azure, Snowflake). Contribute to data migration and real-time integration strategies. What You Bring: 8+ years of hands …/Studio . Strong SQL/NoSQL skills and experience with cloud platforms (e.g., Snowflake, Redshift, BigQuery). Solid background in financial services, capital markets, or consultancy. Expertise in metadata management, data governance, and compliance. Experience with ETL frameworks, APIs, and data integration. Bonus Points For: Experience with unstructured data models. Familiarity with agile delivery in a consulting environment. #J More ❯

compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data models. Designing appropriate metadata repositories and present changes to existing metadata repositories Understand a range of tools for storing and working with metadata Designing data architecture that deals with problems spanning different business areas More ❯

customer-facing products. Key Responsibilities Lead the architecture and design of robust, scalable data solutions in a modern Azure environment Drive the development of logical and conceptual data models, metadata frameworks, and architecture roadmaps Support and influence the entire data lifecycle-from ingestion and transformation to analytics and product delivery Collaborate closely with the CDO and engineering team to define … as a Senior Data Architect or Lead Data Engineer in a modern cloud environment Hands-on knowledge of Azure data services and strong SQL skills Extensive experience in designing metadata-driven pipelines and data warehouse architectures Comfortable defining "as-is" and "to-be" states across data ecosystems Strong communication skills with the ability to liaise across technical and business teams More ❯

scalable data pipelines and transformation processes using Microsoft Fabric components including Data Factory, OneLake, Dataflows and Notebooks. Develop and manage data models that support and analytics solutions. Develop ETL metadata driven processes and integrate data from diverse sources (on-cloud and on-premise) into centralised and governed environments using Fabrics capabilities. Use metadata-driven pipelines to manage dynamic ingestion, transformation More ❯

activities. Design the technical architecture, roadmap, and scalable solutions for new and existing data-centric solutions on Microsoft Fabric and other platforms, including: OneLake, Lakehouses, Data Warehousing, Dataflows & Pipelines Metadata and data lineage management Data governance and master data management (MDM) Integration with on-premise, cloud, and third-party data sources Collaborate with the Lead Data Architect and Data Architecture More ❯

functional teams effectively. It would 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 pension scheme 25 days holiday More ❯

data management, covering one or 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 allow you build credibility with More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive – Resilient and committed to achieving goals through persistent effort. Innovation – Generates new ideas and solutions through original thinking. Results Focus – Aligns team efforts with More ❯

organisational skills and attention to detail. Preferred Qualifications Microsoft Azure Data Engineer certification. Experience with Azure Synapse Analytics and Power BI. Familiarity with data governance, data quality frameworks, and metadata management. Key Behaviours & Competencies Personal Drive - Resilient and committed to achieving goals through persistent effort. Innovation - Generates new ideas and solutions through original thinking. Results Focus - Aligns team efforts with More ❯

that aligns with regulatory and business goals. Lead the implementation of a Data Catalogue and Governance Suite (e.g., Collibra, Alation, Informatica). Design and maintain data models, lineage, and metadata standards. Collaborate with business and enterprise stakeholders to establish data ownership and governance. Enable a Data-Driven Operating Model (DDOM) - embedding data literacy and strategy across the organisation. Support the More ❯

as-code pipelines. Platform Modernisation : Drive shift from batch ETL to event-driven streaming; partner with cloud-engineering on Snowflake, Kafka, K8s. Vendor & Tooling Strategy : Rationalise BI, MDM, and metadata tooling; negotiate enterprise licences. Leadership & Change : Build and mentor a 20-30 FTE cross-location data-architecture guild; embed OKRs and agile ways of working. 12 + yrs enterprise-data More ❯

functional teams effectively. It would 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. You can expect ongoing skills More ❯

pipelines, data warehousing concepts, and ETL/ELT processes. Awareness of data quality principles and version control systems (e.g., Git) is a plus. Willingness to learn about data governance, metadata management, and security practices. About Us With a 140-year legacy, Arco are recognised as the UK's leading safety experts. As the only integrated safety products and services business More ❯

pipelines, data warehousing concepts, and ETL/ELT processes. Awareness of data quality principles and version control systems (e.g., Git) is a plus. Willingness to learn about data governance, metadata management, and security practices. About Us With a 140-year legacy, Arco are recognised as the UK's leading safety experts. As the only integrated safety products and services business More ❯

implementing cloud data migration and storage patterns on one or more of AWS, GCP and Microsoft Azure Experience implementing and integrating data management platforms for data cataloguing, classification and metadata management. Experience designing and developing data privacy, security and entitlements frameworks for cloud provider ecosystems (AWS, Azure, GCP). Good understanding of cloud networking architecture, operations, automation and cost management. More ❯