2 of 2 Permanent Geospatial Data Jobs in Reading

practices to create a seamless user experience. By building strong relationships and understanding business requirements and priorities, we aim to transform operations, accelerate growth, and maximise the value of data through an innovative, integrated approach. As Data Management Lead, you'll drive the implementation of robust data practices across SSE Renewables, ensuring data is accessible, trusted … and aligned with business needs. Reporting to the Data and Application Support Manager, you'll provide technical leadership across the data lifecycle-from source systems to end-user applications-and collaborate with the Data Delivery Lead and Application Support Delivery Lead to ensure seamless data flow. You'll also work closely with the Information Management Centre … of Excellence to embed governance and align with organisational standards. Your expertise in SCADA, geospatial data, and enterprise platforms like FME, AGOL, Microsoft Purview, Azure, and Power Platform will support initiatives in data modelling, metadata, quality, and master data management. As the technical lead for SSER's digital data platform, you'll identify opportunities to More ❯

Join a mission-driven team shaping the future of geospatial data engineering. We’re looking for a Principal Data Engineer to lead the design and delivery of cutting-edge data solutions across cloud platforms and spatial technologies. If you're passionate about geospatial data, cloud architecture, and building scalable pipelines, this is your chance … to make a real impact. What You’ll Be Doing: Architecting and implementing robust data pipelines using FME and QGIS . Leading cloud-based data engineering projects across AWS and Azure . Collaborating with cross-functional teams to deliver high-impact geospatial solutions. Mentoring junior engineers and setting best practices for data engineering excellence. Driving innovation … in spatial data processing, automation, and analytics. What You’ll Bring: Proven experience as a Senior or Principal Data Engineer . Deep expertise in QGIS and FME for geospatial data transformation. Strong hands-on experience with AWS (e.g., S3, Lambda, Glue) and/or Azure (e.g., Data Factory, Synapse). Proficiency in Python or other More ❯