Geospatial Data Engineer – AI, Cloud & ArcGIS
ARUP
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Arup is seeking an experienced Geospatial Developer to design and maintain reliable spatial data systems for multiple client projects across infrastructure, energy, cities and environmental markets. You will enable consultants, designers and engineers to trust and use geospatial data at project scale.
You will join a collaborative team of over 50 geospatial professionals, contributing to scalable workflows, data pipelines and AI-enabled analyses while growing through mentoring and structured
Qualifications
- Experience with geospatial applications such as ArcGIS Pro, QGIS, ArcGIS Online or ArcGIS Enterprise.
- Ability to apply spatial analysis, modeling or AI-enabled workflows, including machine learning and Earth Observation.
- Proficiency with Python and SQL, and familiarity with Databricks or Azure cloud platforms.
- Ability to build scalable tools for large spatial datasets and enterprise geospatial systems.
- Translate business or engineering needs into robust spatial and analytical workflows.
Responsibilities
- Design and maintain reliable systems for managing spatial data.
- Help consultants, designers and engineers trust, discover and use geospatial data at project scale.
- Support timely insight for clients across infrastructure, energy, cities and environmental markets.
Skills
Education
Job description
Arup is seeking an experienced Geospatial Developer to design and maintain reliable spatial data systems for multiple client projects across infrastructure, energy, cities and environmental markets. You will enable consultants, designers and engineers to trust and use geospatial data at project scale.
You will join a collaborative team of over 50 geospatial professionals, contributing to scalable workflows, data pipelines and AI-enabled analyses while growing through mentoring and structured
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
