Geospatial Specialist
Role details
Job location
Tech stack
Job description
As part of our continued investment in digital delivery across the natural and built environment, we are looking for an experienced Geospatial Analyst to support with geospatial analysis, visualisation and information management. You will help consultants, designers, and engineers confidently access, understand, and apply geospatial data at project scale, enabling us to deliver timely, data driven insights for clients across infrastructure, energy, cities, and environmental markets.
You will be responsible for delivering high quality geospatial analysis, developing spatial models, producing compelling visualisations, and advising multidisciplinary teams on the effective use of geospatial information. This includes managing spatial datasets, integrating them with wider project data, and contributing to evidence-based recommendations for clients.
At Arup, you belong to an extraordinary collective - in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas.
You will have the opportunity do socially useful work that has meaning - to Arup, to your career, to our members and to the clients and communities we serve., Stay safe online - Arup will never ask for payment or your bank details as part of our recruitment process.
Recruitment Agencies - We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the list
Requirements
Do you have experience in Scripting?, * Hold a degree in a relevant subject (e.g. GIS, Remote Sensing/Earth Observation, Geography, Geoinformatics, Environmental Science).
- Have previous industry experience, ideally in the consultancy sector.
- Technical experience in any of the following: Geospatial Applications (ArcGIS Pro, QGIS, ArcGIS Enterprise/AGOL), Data visualisation platforms (Esri Experience Builder, PowerBI), Automation and Scripting (Model Builder FME, Python), Spatial data management and governance (SQL Server, PostgreSQL/PostGIS).