Geospatial Data Engineer | Outside IR35 | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
🌎 - Country
United Kingdom
πŸ’± - Currency
Β£ GBP
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 9, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Outside IR35
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
London, England, United Kingdom
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🧠 - Skills detailed
#Scala #Scripting #Transformers #Documentation #Migration #"ETL (Extract #Transform #Load)" #Python #Spatial Data #Datasets #Agile #Automation #Data Management #Data Engineering
Role description
FME Workflows | Geoprocessing | Grid/Hex Modelling | Renewable Energy | ETL SR2 is working with a leading consultancy and currently looking for a Geospatial Data Engineer to work to work on energy and modelling project. You’ll play a key role in re-engineering existing ArcGIS Pro and FME workflows, helping transition from vector-based processing to a grid/hexagonal data model to improve scalability and analytical flexibility. This is a hands-on role for an experienced FME specialist who can quickly add value, working alongside engineers while also advising on optimisation and best practice. Key Responsibilities: Design, build, and optimise FME workbenches to support migration from vector overlays to grid/hex-based models Collaborate with GIS and engineering teams to translate requirements into scalable workflows Implement data transformation, validation, and automation to improve model accuracy and performance Optimise and restructure legacy FME workbenches for maintainability Support integration with ArcGIS Pro and downstream analytical workflows Provide Knowledge Transfer, Documentation, And Mentoring To In-house StaffSkills/Experience Strong track record delivering production FME workflows in complex environments Deep knowledge of geoprocessing methods and spatial data structures (vector, raster, grid/hex) Experience integrating FME with ArcGIS Pro and Esri ecosystems Familiarity with suitability modelling or spatial multi-criteria analysis (SMCA) desirable Skilled in ETL processes, spatial data management, and performance optimisation Strong stakeholder and team collaboration skillsDesirable Experience: Renewable energy, environmental, or land suitability assessments Python scripting in FME for automation/custom transformers Experience handling large-scale geospatial datasets Agile delivery environmentsThe Details Duration: 3 months intially Location: Remote Outside IR35 Start: ASAPIf you’re an FME specialist with a passion for geospatial data engineering and want to work on cutting-edge suitability modelling in the renewable energy sector β€” apply now for immediate consideration. Call Settings Override From Record Yes No Always use these settings