4 of 4 Metadata Jobs in Sheffield

Metahuman workflows, rigging, body proportion fitting, and character sculpting. Role: You will be responsible for creating highly accurate Metahuman avatars based on reference images, metadata, and (in some cases) reference meshes. This role requires precision, anatomical understanding, and the ability to follow a structured pipeline. You will produce a complete ...

Technical SME to join a major enterprise data governance programme. This role focuses on designing, building and optimising solutions across the Collibra platform, supporting metadata management, data lineage and reference data capabilities. You will work closely with data owners, stewards and technology teams to ensure the Collibra environment runs efficiently … delivers high-quality metadata, and integrates seamlessly with the wider data ecosystem. Key Responsibilities Design and configure Collibra operating models, domains, communities and asset types Develop Collibra workflows using BPMN, Groovy and Java APIs Implement metadata ingestion, lineage integrations and custom API/SDK automation Configure and support Collibra Edge ...

solutions. Provide oversight and guidance to data architects in the design and production of data artefacts. Design and maintain logical and physical data models, metadata systems, and data dictionaries. Ensure adherence to organisational data architecture standards across teams. Support agile delivery teams using Scrum methodology, contributing to iterative and collaborative … attitude with a proactive and solution-oriented mindset. Solid experience with agile delivery practices, particularly Scrum. Ability to design data models and metadata systems that support business objectives. Competence in developing and managing data dictionaries. Experience providing technical oversight and ensuring compliance with architectural standards. Collaborative approach to working with ...

vision, strategy, and multi-year roadmap for Enterprise Knowledge Management at IOG. Develop the core information architecture, including taxonomies, ontologies, and metadata frameworks that will serve as the backbone of our knowledge systems System Design & Implementation: Lead the selection, design, and implementation of KM technologies and platforms. Work with engineering … business goals, especially those related to AI and operational excellence Information Architecture Expertise: Deep, hands-on expertise in designing and implementing taxonomies, ontologies, and metadata schemas in a complex, technical organization Technical Acumen: Strong understanding of modern KM platforms, search technologies, content management systems, and the principles of API-driven ...