Geospatial Data Engineer

ARUP

City of Edinburgh

On-site

GBP 55,000 - 75,000

Full time

4 days ago
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Benefits offered by this job

Private medical insurance
Life assurance
Accident insurance
Income protection
Flexible benefits

Job summary

Arup is looking for an experienced Geospatial Developer to design and maintain reliable systems for managing spatial data, enabling consultants, designers and engineers to trust and use geospatial data at project scale. You will join a collaborative team of 50+ geospatial professionals, contributing to AI-enabled workflows and scalable geospatial tools.

You will work with ArcGIS Pro, QGIS and cloud platforms like Python, SQL, Databricks and Azure, translating business needs into robust spatial

Qualifications

  • You have experience with geospatial applications such as ArcGIS Pro, QGIS, ArcGIS Online or ArcGIS Enterprise.
  • You can apply spatial analysis, modelling or AI-enabled workflows, including machine learning, Earth Observation, constraint analysis, route optioneering or site suitability.
  • You are confident working with data engineering and cloud platforms such as Python, SQL, Databricks or Azure.
  • You can build repeatable, scalable and reproducible tools for large spatial datasets and enterprise geospatial systems.
  • You are able to translate business or engineering needs into robust spatial, analytical and AI-enabled workflows.
  • You have a relevant degree, such as GIS, Remote Sensing/Earth Observation, Geography, Geoinformatics, Computer Science, Data Science or Environmental Science, or equivalent industry experience and demonstrated learning.

Skills

ArcGIS Pro
QGIS
ArcGIS Online
ArcGIS Enterprise
Python
SQL
Databricks
Azure
Machine learning

Education

GIS / Remote Sensing / Geography degree
Computer Science / Data Science related degree

Tools

Databricks
Azure

Job description

Arup is looking for an experienced Geospatial Developer to design and maintain reliable systems for managing spatial data, enabling consultants, designers and engineers to trust and use geospatial data at project scale. You will join a collaborative team of 50+ geospatial professionals, contributing to AI-enabled workflows and scalable geospatial tools.

You will work with ArcGIS Pro, QGIS and cloud platforms like Python, SQL, Databricks and Azure, translating business needs into robust spatial

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