5 of 5 Metadata Jobs in Reading

governance Extensive experience improving and optimising ETL processes, presumably using IPaaS tooling Data architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally ...

daily operations. This is a fully remote position. Key Responsibilities Taxonomy & Classification Design Develop, maintain, and evolve comprehensive product taxonomies, hierarchies, attribute models, and metadata frameworks for ecommerce environments. Ensure taxonomy structures support scalability, localisation, and category growth. Collaborate with product, merchandising, and UX teams to align taxonomy with business ...

integrations), ensuring reliability, security, latency, error handling, monitoring. Defining + implementing technical governance, architecture operating models, and instance strategy. Knowledge of CMDB, data modelling, metadata, core data, data governance + security. Leading stakeholder workshops + discovery sessions to understand current-state processes, define future-state vision, scope requirements, constraints, risks ...

tight deadlines. Must use personal mobile device for MFA. Preferred Skills Background in learning design, assessment development, exam production, or content QA. Experience with metadata, content tagging, and structured documentation. Familiarity with proprietary editorial guidelines. Previous experience with confidential certification or examination content. Recruitment Process One-stage interview ...

looking for a new role as an External Information Solutions Lead? Do you have a deep understanding of the data lifecycle, metadata, ontologies and scientific knowledge systems? Are you also experienced in FAIR data principles and semantic technologies, ensuring data is structured for scientific use? If so, please click apply … prepare and optimize data for intelligent systems and scientific platforms. Collaborate with data governance and quality teams to align and develop on enterprise domains, metadata standards, quality indicators, data models, and onboarding materials, all grounded in information science best practices can compliance. Technical and Professional Competencies: Information Science Expertise Deep ...