able to explain complex data concepts to non-technical stakeholders. A proactive, self-starting attitude with a passion for continuous learning and improvement. Experience with geospatial data or tools; QGIS is essential, ArcGIS and FME are desirable. Familiarity with ETL processes and collaboration with data engineering teams is a strong plus. Experience working in agile teams and contributing to iterative … with Excel functions? you'll have to complete an Excel task during the interview process Select Do you have Geospatial data experience? Select Do you have experience of using QGIS? Select Are you eligible to work in the UK? Select Are you currently in the UK on a Visa? Select If yes, what type of Visa, and when does it More ❯
Reading, England, United Kingdom Hybrid / WFH Options
rmg digital
working knowledge of data visualisation platforms (Power BI, Tableau, Looker, etc.) Hands-on experience with large datasets and a strong analytical mindset Familiarity with geospatial data and tools (FME, QGIS, ArcGIS, etc.) Advanced Excel skills; experience with Python or R is a strong plus Strong communicator – able to explain technical insights to non-technical audiences with clarity Understanding of ETL More ❯
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 … 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 ❯
Reading, Berkshire, United Kingdom Hybrid / WFH Options
iO Associates
skills and hands-on experience with large datasets. Proficient in data visualisation tools like Power BI, Tableau, or similar. Bonus: Experience with Python/R, geospatial tools (e.g. FME, QGIS), or cloud platforms (AWS). Apply now and help lead the transformation of how vital land data is managed across the country. More ❯
