11 of 11 Permanent Metadata Jobs in West Yorkshire

same Other Skills Proficiency in developing and maintaining complex data models (conceptual, logical and physical). Strong skills in data governance and metadata management. Experience with data integration design and implementation. Ability to write efficient, maintainable code for large scale data systems. Experience with CI/CD pipelines, version control ...

/CD, and Agile/DevOps ways of working Desirable Insurance domain experience (policy, claims, regulatory data) Knowledge of enterprise data management, governance, metadata, and lineage To be considered for this role, you must already be eligible to work in the United Kingdom without the need for sponsorship. ...

Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding. Research Administration: grant discovery, compliance support, and metadata enrichment. Coordinate integrations with core systems including SIS (e.g., Banner, Workday Student), LMS/VLE (Moodle, Canvas), CRM (Salesforce), library systems, HR/Finance ...

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 ...

scalability and accuracy. Key responsibilities: Lead customer onboarding for analytics platforms, delivering training and technical support. Enrich datasets for AI/LLM applications, including metadata management and semantic layers. Monitor Natural Language Query (NLQ) performance and implement optimisation strategies. Develop and maintain a strategic roadmap for platform scalability and accuracy. ...

enterprise data solutions. Strong knowledge of Analytics & Reporting, Data Lakes, BI tools, and best practices. Experience in Data Architecture Design, including data modelling, MDM, metadata management, and governance. Architecture design across on-prem, cloud, and hybrid environments. Translating business requirements into technical solutions with clear traceability. Presenting architecture designs ...

architectures with clear technical trade-offs • Developing robust pipelines for telemetry, sensor, and operational data • Implementing data quality controls, monitoring, and alerting • Managing schemas, metadata, lineage, and dataset ownership • Embedding security best practices: encryption, access control, auditability • Delivering reusable datasets and data products (not one-off extracts) • Documenting standards ...

geospatial data formats and workflows Managing MapFeature-based data models (everything in the platform is a MapFeature) Supporting: User-uploaded vector data with metadata and attachments Large ETL workflows (e.g. LiDAR, bathymetric XYZ) that generate streamable 3D Tilesets Designing async ETL workflows Working with cloud-native geospatial storage formats Collaboration ...

Assist with tasks connected to automated production workflows including setup, monitoring and data entry Manage and maintain online assets such as artwork, campaign files, metadata and production materials Update rate cards, reports and internal documentation, ensuring accuracy and version control Organise and prepare campaign and artwork assets for automated services ...

innovative approaches or tools Data governance - define data governance and assurance for clients Data lifecycle - understand and apply data governance over a data lifecycle Metadata management - understand and promote the use of metadata repositories Data modelling - produce relevant data models across multiple subject areas Data standards - refine, develop or apply ...

global, recognized brands, ensuring every product finds its buyer through intelligent content. What we do Wilgot provides the intelligence layer that transforms "thin" metadata into Intelligent Content optimized for the era of Agentic Commerce. Our Core AI Loop: Discover: Leverage AI and data analysis (customer queries, first-party data, Google … fine-tuning (you don't just call APIs). You know how to use AI to generate features that drive performance, moving beyond basic metadata into deep semantic understanding. Agentic Systems: Proven experience with agentic frameworks (e.g., LangGraph, PydanticAI) and managing memory and tool-calling in production. Engineering Mindset: Ability ...