11 of 11 Metadata Jobs in Buckinghamshire

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 ...

assess existing codebases and architectures to define refactoring approaches that replace local components with enterprise services. Knowledge of data mesh/data product concepts, metadata management, and lineage service integrations. Proven delivery/project management experience on enterprise data or platform engineering programmes using Agile/hybrid delivery methods. Strong ...

Engineering, BI, and Analytics teams to ensure efficient ingestion, transformation, and reporting solutions. Architect secure and scalable third-party data integrations. Drive data governance, metadata management, and regulatory compliance initiatives, including GDPR requirements. Support data platform governance and data cataloguing capabilities. Optimise data architecture for performance, reliability, scalability, and cost … expertise and experience working within hybrid cloud/on-premises environments. Experience developing Common Data Models (CDMs) for core business domains. Strong understanding of metadata management and data architecture frameworks. Experience integrating third-party systems, APIs, and data sources. Knowledge of data migration and modernisation strategies. Excellent stakeholder management ...

Experience partnering effectively with Information Security and translating policy into working configuration. Clear written and verbal communication. Desirable Exposure to data quality frameworks and metadata-driven governance. Relevant certifications (e.g. Microsoft DP-700/SC-400/SC-300, or equivalent governance/security credentials). Please note that ...

with Microsoft Purview, working in fast-paced environments, and creating measurable governance outcomes rather than simply advising on strategy. Key Responsibilities Data Lineage & Metadata Management Configure and manage Microsoft Purview scanning and lineage capabilities across key source systems. Establish end-to-end lineage across Microsoft Fabric's Bronze, Silver … Sensitivity Labelling Define and apply data classifications and Microsoft Information Protection (MIP) sensitivity labels. Configure automated classification rules and custom classifiers. Develop and maintain metadata standards, taxonomies and governance frameworks. Improve data visibility and protection through effective tagging and governance controls. Access Governance & Security Partner with Information Security teams ...

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 ...

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 ...

SEO Executive Salary Range: £32,000 - £35,000 Location: Gerrards Cross - Hybrid working Type: Full Time The Role POLARIS is looking for an SEO Executive to support the delivery of SEO & GEO across its client ...