Geospatial Data Engineer: Automated Spatial Pipelines

Origin Digital; East Hagbourne; On-site; GBP 60,000 - 85,000; Full time

Job summary

Origin Digital is seeking a GIS Specialist to build and automate scalable geospatial data pipelines within a data mesh. You will integrate land use, ownership, soils and planning data, applying spatial rules across the group and supporting AI/ML-ready workflows.

You will work with Python, SQL and geospatial libraries to ingest, transform and validate datasets, enabling production-grade GIS capabilities and EO integration.

Qualifications

• Professional experience in GIS, Geospatial Data Science, Geospatial Engineering or a related discipline.
• Strong understanding of vector and raster geospatial data.
• Experience with cloud-based data architectures, ideally AWS.
• Strong experience with GIS platforms such as QGIS, ArcGIS or equivalent.
• Experience with spatial databases, ideally PostGIS.
• Python experience for geospatial automation.
• SQL experience.
• Experience with geospatial libraries and tools such as GeoPandas, GDAL, Rasterio, Shapely or equivalent.
• Experience processing large regional or national spatial datasets.
• Experience designing repeatable spatial ETL/data-processing workflows.
• Strong understanding of coordinate reference systems, topology, spatial accuracy and data quality.
• Experience consuming APIs and geospatial web services.
• Ability to translate business requirements into spatial analytical rules.
• Working knowledge of Earth Observation and satellite imagery.

Responsibilities

• Develop and maintain Origin’s spatial data framework.
• Integrate national and regional datasets covering land use, land cover, field boundaries, land ownership, soils, topography, water, habitats and planning constraints.
• Develop spatial rules and analytical approaches for automatically characterising fields, land parcels and landholdings.
• Input into the development of a solution connecting land characteristics with products and services across the Group.
• Develop repeatable approaches for identifying and screening land opportunities at regional and national scale.
• Collaborate with domain specialists to ensure spatial classifications and analytical rules suit agricultural, environmental and land-management applications.
• Define how spatial data is ingested, represented, stored, catalogued and distributed within Origin’s data architecture.
• Design automated pipelines for ingesting, transforming, validating, classifying and refreshing geospatial datasets.
• Develop reusable spatial data products for applications, analytics, APIs and AI/ML services.
• Establish spatial data standards covering coordinate systems, identifiers, topology, metadata, lineage and data quality.
• Help establish relationships between fields, land parcels, customers and other spatial entities.
• Support integration of spatial data with internal datasets.
• Ensure geospatial workflows are scalable and reproducible.
• Work with engineering teams to operationalise GIS prototypes.
• Undertake advanced spatial analysis including intersection, proximity, suitability, terrain and hydrological analysis.
• Develop automated spatial workflows using Python, SQL and geospatial libraries.
• Work with vector, raster and point-cloud datasets.
• Develop methods for assessing spatial data quality, completeness and accuracy.
• Support prototyping and visualisation using QGIS for ad-hoc use cases.

Skills

GIS

Geospatial Data Science

Geospatial Engineering

Python

SQL

GeoPandas

GDAL

Rasterio

Shapely

PostGIS

AWS

QGIS

ArcGIS

Tools

PostGIS

Python (geospatial)

Geo libraries (GeoPandas, GDAL, Rasterio, Shapely)

QGIS/ArcGIS

AWS

Job description

Origin Digital is seeking a GIS Specialist to build and automate scalable geospatial data pipelines within a data mesh. You will integrate land use, ownership, soils and planning data, applying spatial rules across the group and supporting AI/ML-ready workflows.

You will work with Python, SQL and geospatial libraries to ingest, transform and validate datasets, enabling production-grade GIS capabilities and EO integration.