Geospatial Data Engineer — GIS Automation & Mapping

RMSI; Reading; On-site; GBP 25,000 - 35,000; Full time

Benefits offered by this job

Competitive salary for Graduate

Opportunity to develop technical skills in GIS automation

Supportive working environment with senior GIS professionals

Potential for long-term or permanent employment based on performance

Job summary

A leading GIS solutions provider is looking for a motivated Data Engineer for a digitization project in Reading, UK. This role is ideal for recent graduates with a strong academic background in GIS, Remote Sensing, or Geomatics. Responsibilities include processing large-scale spatial datasets, collaborating with teams to validate data, and utilizing tools such as ArcGIS and QGIS. The position offers a competitive salary, skill development opportunities, and potential for long-term employment. Join an innovative team today!

Qualifications

• Bachelor’s degree in Geography, Geomatics, GIS, Remote Sensing, or Computer Science.
• Proficiency in ArcGIS or QGIS for spatial data handling.
• Familiarity with spatial databases and data formats.
• Basic knowledge of FME or Python scripting for automation (preferred but not mandatory).
• Strong attention to detail and problem-solving mindset.
• Ability to work independently and as part of a collaborative project team.

Responsibilities

• Process and manage large-scale spatial datasets from local authorities.
• Work with tools such as ArcGIS, QGIS, FME, and Python for data transformation.
• Perform data validation and quality assurance.
• Contribute to digitization workflows as per project standards.
• Collaborate with data and QA teams to resolve discrepancies.
• Prepare maps, reports, and spatial deliverables.

Job description

A leading GIS solutions provider is looking for a motivated Data Engineer for a digitization project in Reading, UK. This role is ideal for recent graduates with a strong academic background in GIS, Remote Sensing, or Geomatics. Responsibilities include processing large-scale spatial datasets, collaborating with teams to validate data, and utilizing tools such as ArcGIS and QGIS. The position offers a competitive salary, skill development opportunities, and potential for long-term employment. Join an innovative team today!