GIS Technology Specialist Job at IQbusiness

Contract Research / Data Analysis

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Job Location : Centurion, Gauteng, South Africa

Application Deadline : January 23, 2026

Job Description

  • iqx the Technology Division of iqbusiness is seeking an experienced and skilled GIS Technology Specialist to advance the organization’s geospatial capabilities.
  • The successful candidate will lead the design, implementation, and optimization of Geographic Information Systems to support strategic decision-making in agricultural, commercial, and environmental projects.
  • The role includes spatial data analysis, mapping and predictive modelling, remote sensing applications, and development of GIS tools and platforms to drive innovation and efficiency.

REQUIRED MINIMUM EDUCATION/TRAINING

  • A bachelor’s degree or higher in Geographic Information Systems, Geoinformatics, Environmental Science, Geospatial Sciences, or a related discipline.
  • An honors degree or higher in Geographic Information Systems, Geoinformatics, Environmental Science, Geospatial Sciences, or a related discipline. 
  • Registration with the South African Geomatics Council (SAGC) is mandatory.
  • Additional certifications in Remote Sensing, Database Management, Cloud GIS, or Programming are advantageous.

REQUIRED MINIMUM WORK EXPERIENCE

  • 5–7 years of professional GIS experience, preferably within agricultural, environmental, or natural resource sectors.
  • Experience designing and managing enterprise GIS systems and spatial data infrastructures (SDI).
  • Proven experience with remote sensing, LiDAR, UAV/drone data, and large raster datasets (e.g. Sentinel, Landsat, Planet etc.)
  • Experience delivering Web GIS, dashboards, and production-ready GIS applications.
  • Map algebra, spatial analysis and spatial statistics

TECHNICAL KNOWLEDGE/ COMPETENCIES

  • Expert proficiency in QGIS and ESRI ArcGIS platforms (Desktop, Pro, Enterprise).
  • Geospatial database design and administration (PostGIS, ArcSDE) and SDI principles.
  • Advanced knowledge of map algebra, geostatistics, and machine learning for geospatial applications.
  • Extensive experience with remote sensing, LiDAR, photogrammetry, and high-resolution raster analysis.
  • Proficiency in Python (PyQGIS, ArcPy), R, and SQL for advanced geospatial workflows and automation.
  • Experience with cloud-based geoprocessing and platforms (Google Earth Engine, AWS, Azure)

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