

Geospatial Data Engineer | Outside IR35 | Remote
β - Featured Role | Apply direct with Data Freelance Hub
π - Country
United Kingdom
π± - Currency
Β£ GBP
-
π° - Day rate
-
ποΈ - Date discovered
September 9, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Unknown
-
π - Contract type
Outside IR35
-
π - Security clearance
Unknown
-
π - Location detailed
London, England, United Kingdom
-
π§ - 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.
Youβll 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 youβre 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
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.
Youβll 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 youβre 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