Graduate Geospatial Data Engineer - Shape Sustainable Futures

Arup

Greater London

On-site

GBP 24,000 - 30,000

Full time

4 days ago
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Benefits offered by this job

Private medical insurance
Life assurance
Income protection

Job summary

Arup UK geospatial graduates join a multidisciplinary team that combines geography, data and digital technology to help clients and project teams understand places and make better decisions.

You will work on projects ranging from early options and environmental assessment through to design, construction and operation, applying spatial analysis, data engineering, Earth observation, automation and digital visualisation.

Qualifications

  • Bachelor’s degree in Geography, Geospatial Science, Digital Engineering, Data Science/Engineering or Environmental Science.
  • Eligibility includes full working rights in the UK and no more than 12 months of full-time experience in a comparable role.
  • Graduate or on-track to graduate before employment starts.

Responsibilities

  • Collect, manage, assure and analyse spatial data to support multidisciplinary projects.
  • Create maps, dashboards, apps and visualisations for technical and non-technical audiences.
  • Develop efficient geospatial workflows using GIS, data engineering, scripting and automation.
  • Collaborate with engineers, planners, environmental specialists and clients to turn requirements into spatial insights.
  • Contribute to innovation, standards and learning across geospatial specialisms.

Skills

Spatial data analysis
GIS
Data engineering
Scripting
Automation
Data visualization

Education

Bachelor's degree in Geography / Geospatial Science

Tools

ArcGIS
QGIS
Python

Job description

Arup UK geospatial graduates join a multidisciplinary team that combines geography, data and digital technology to help clients and project teams understand places and make better decisions.

You will work on projects ranging from early options and environmental assessment through to design, construction and operation, applying spatial analysis, data engineering, Earth observation, automation and digital visualisation.

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