2 of 2 Data Transformation Jobs in the Thames Valley

About the Role We are seeking a motivated Data Engineer to join our team supporting the a major digitization project. This role is ideal for a recent graduate with a strong academic background in GIS, Remote Sensing, Geomatics, or a related discipline who is eager to apply technical skills in real-world geospatial data processing and digital mapping. … Key Responsibilities Process and manage large-scale spatial datasets from local authorities and government sources. Work with tools such as ArcGIS, QGIS, FME, and Python to support data transformation and automation workflows. Perform data validation, quality assurance, and topological checks to ensure accuracy and consistency. Contribute to digitization workflows, aligning with data specifications and project standards. … Collaborate with the data and QA teams to resolve mapping or attribute discrepancies. Prepare maps, reports, and spatial deliverables as required by project managers. Skills & Qualifications Bachelor’s degree in Geography, Geomatics, GIS, Remote Sensing, or Computer Science. Proficiency in ArcGIS or QGIS for spatial data handling. Familiarity with spatial databases (PostGIS, GeoPackage, etc.) and data formats More ❯

Working location: Milton Keynes, Hybrid Employment type: Full time, Permanent Job summary We are seeking a Data Architect to shape how we design, govern, and use data across the organisation. You'll ensure that data is treated as a strategic asset, supporting business goals through well-structured, high-quality, and scalable solutions. Reporting to the Chief Data … engineers, analytics leads, and governance teams to set standards, guide architectural decisions, and optimise our Snowflake-based cloud platform. You'll also support initiatives involving AI, automation, real-time data, and reporting tools like Power BI and Tableau. What you'll be doing Lead the delivery and optimisation of NHBC's enterprise data architecture and cloud data platform (Snowflake). Set and maintain data standards, models, and design patterns across domains. Ensure high-quality, secure, and well-governed data through collaboration with engineering and governance teams. Oversee integration pipelines, data transformations (dbt), and reporting alignment (Power BI, Tableau). Guide architectural decisions supporting AI, analytics, automation, and real-time data. Promote reusability and More ❯