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GIS Data Engineer

RMSI
Reading
1 month ago
Applications closed

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Senior Data Scientist - Earth Observation

Senior Data Scientist - Earth Observation

Experienced Data Scientist — AI, ML & GIS Analytics

Deputy Manager - Global Talent Acquisition

About the Role


We are seeking a motivated Data Engineer to join our team supporting the a major digitization project. This role is ideal for a recent graduate with a strong academic background in GIS, Remote Sensing, Geomatics, or a related discipline who is eager to apply technical skills in real-world geospatial data processing and digital mapping.


Key Responsibilities



  • Process and manage large-scale spatial datasets from local authorities and government sources.
  • Work with tools such as ArcGIS, QGIS, FME, and Python to support data transformation and automation workflows.
  • Perform data validation, quality assurance, and topological checks to ensure accuracy and consistency.
  • Contribute to digitization workflows, aligning with data specifications and project standards.
  • Collaborate with the data and QA teams to resolve mapping or attribute discrepancies.
  • Prepare maps, reports, and spatial deliverables as required by project managers.

Skills & 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 (PostGIS, GeoPackage, etc.) and data formats (Shapefile, GeoJSON, etc.).
  • 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.

What We Offer



  • Competitive salary for Graduate.
  • Opportunity to develop technical skills in GIS automation and data engineering and AI.
  • Supportive and collaborative working environment with senior GIS professionals.
  • Potential for long-term or permanent employment based on performance.


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