5 of 5 Permanent Metadata Jobs in Milton Keynes

Databricks and related services. Develop and maintain datasets and data models that support analytics and reporting, following established modelling standards Contribute to data lineage, metadata management and cataloguing practices, including exposure to Purview Work closely with the Lead Data Engineer, Analysts and Architects to develop and improve engineering standards ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

leading governance forums, stewardship communities and decision-making structures. Embedding governance controls within Microsoft Fabric and Microsoft Purview, including cataloguing, lineage, classification and metadata management. Driving enterprise data quality management, issue remediation and continuous improvement. Leading Responsible AI governance, including model oversight, transparency, explainability and monitoring. Defining governance KPIs … culture where: Business capabilities are aligned to clear data domains and ownership models. Critical business data is trusted, well-defined and fit for purpose. Metadata, lineage and classifications are visible and actively maintained. Data quality issues are identified, managed and resolved through accountable ownership. AI solutions are governed responsibly, transparently ...

Assess existing DPC codebase, application architecture, and deployment artifacts to replace local components with enterprise services. Enterprise Integration: Design seamless integration connectivity with enterprise metadata, lineage services, IAM, ITSM, and Azure DevOps CI/CD pipelines. Delivery Leadership: Own the end-to-end delivery plan across design, build, integration … Infrastructure: Azure Cloud Architecture, Infrastructure as Code (Terraform), and API-based integration patterns. Data & Databases: PostgreSQL, Graph Databases ( Neo4j , Kuzu ), and data mesh/metadata management platforms. Modern Tech Stack: Next.js 14, FastAPI (Python), Casbin RBAC, Pipeline Orchestration, Apache Iceberg, MCP AI Server Integration, and ODCS v2 Data Contracts layer. ...

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 ...