11 of 11 Permanent Metadata Jobs in Berkshire

month Contract Department: Data & Analytics About the Role Seeking an experienced Lead, Data Models for Microsoft Fabric to spearhead the design and oversight of semantic data models, metadata, and end-to-end lineage. This senior, hands-on role ensures full data traceability from ingestion to consumption for quality reporting, strong governance, and confident decision-making. You will build and manage … robust master data and metadata, ensuring definition, risk-assessment, and alignment with enterprise standards. Collaborate closely with Data Architecture, BI & Analytics, and Change Engineering to underpin all reporting with high-quality semantic models, logical lineage, and data glossaries. Key Responsibilities Metadata & Lineage Partner with business analysts and solution designers to embed metadata capture into change and operational processes. Maintain metadata … conversations with stakeholders to address lineage issues. Data Management Tooling & Platforms Support implementation and enhancement of Purview within the Microsoft Fabric ecosystem. Assist with integrating Solidatus, Aperture and other metadata platforms with enterprise tooling. Contribute to automation initiatives and develop improved metadata and lineage metrics. Skills, Knowledge & Experience Essential Extensive experience as a Metadata Manager, Metadata Architect, or similar. Demonstrable More ❯

and data warehousing solutions. Cloud Platforms: Experience with cloud providers mainly AWS especially their data services, but also Azure, Google Cloud, Data Governance and Quality: Understanding of data lineage, metadata management, and data quality processes and tools. Analytics and BI Tools: Familiarity with tools such as Tableau, Power BI, QlikView, and their backend requirements. Benefits Competitive Salary and equity in More ❯

and transformation. Advanced SQL skills and deep understanding of modern data architecture principles, especially Medallion architecture. Familiarity with orchestration tools such as Airflow. Experience implementing data quality, observability, and metadata/lineage tooling. Strong Git proficiency and experience using GitHub with CI/CD workflows. Tableau exposure Familiarity with Python for scripting and automation tasks. If you're interested, get More ❯

knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2, Lean). Excellent communication skills-able to bridge technical and non-technical audiences. Passion for emerging More ❯

physical data models that drive alignment between technology and business vision Partner with engineers, domain experts, and business teams to translate requirements into intelligent data solutions Support data governance, metadata management, and standards enforcement across programmes Act as a subject matter expert, presenting technical concepts in a clear business context Mentor data professionals and contribute to the development of our … management principles Hands-on experience with data modelling tools (e.g., Erwin, Sparx, PowerDesigner) and big data/cloud ecosystems (e.g., Databricks, Snowflake, Redshift, Spark) Solid grasp of data governance, metadata, and data quality frameworks Excellent stakeholder engagement skills — able to communicate complex data concepts to both technical and business audiences Bonus Points For Certifications in data or cloud architecture (e.g. More ❯

DevOps. Hands-on experience with CI/CD tools such as Git, Jenkins, Azure DevOps, Bitbucket, or Copado. Expertise in Salesforce deployment strategies, including change sets, Salesforce DX, and metadata API. Strong understanding of version control and branching strategies. Experience with automation frameworks for testing and deployment. Experience working in agile and DevOps environments. Strong experience with Salesforce DX, CLI More ❯

DevOps. Hands-on experience with CI/CD tools such as Git, Jenkins, Azure DevOps, Bitbucket, or Copado. Expertise in Salesforce deployment strategies, including change sets, Salesforce DX, and metadata API. Strong understanding of version control and branching strategies. Experience with automation frameworks for testing and deployment. Experience working in agile and DevOps environments. Strong experience with Salesforce DX, CLI More ❯

development, until we expand with specialist hires post-funding. You'll be working on: Designing and building our prototype platform Developing workflows to extract and structure book/IP metadata from catalogues and databases Implementing early-stage AI features (e.g. multilingual vectorisation, search, taste-matching) using third-party and custom models Establishing our engineering culture, coding standards and technical direction More ❯

with developers to ensure SEO best practices are integrated into website architecture, platform migrations, and new site builds. Collaborate with the content team to optimise on-page elements, including metadata, internal linking, and keyword targeting. Analysing, sourcing and checking links for our link building strategy. Keyword research, search intent modelling and keyword mapping to achieve high rankings. Stay updated with More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯

Skills and Experience: Proven experience designing geospatial data architectures in large enterprise or public sector environments. Proficiency with EA Sparx for data modelling and architecture documentation. Deep knowledge of metadata and geospatial data standards (ISO 19115, INSPIRE and GEMINI). Understanding of coordinate reference systems, topology, geometry validation and data lineage. Experience conducting data quality and completeness assessments and implementing … governance model. Role and Responsibilities: Develop conceptual, logical, and physical data models for geospatial and land data using EA Sparx for design and documentation. Define data standards, schemas and metadata frameworks to ensure consistency and interoperability across the organisation. Design solutions that distinguish between live, validated and historical datasets while supporting both batch and streaming-based processing. Conduct gap analyses More ❯