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Geographic Information Systems Tech Specialist

Job in Centurion, 0014, South Africa
Listing for: Cape National Recruitment Pty Ltd
Full Time position
Listed on 2025-12-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Systems Engineer, Data Scientist
  • Engineering
    Data Engineer, Systems Engineer
Job Description & How to Apply Below

Our client in Centurion in die agriculture industry, has a permenent role available for a GIS Technology Specialist (Senior role). Open to all ethnicities.

Spec: MAIN PURPOSE OF ROLE AND GENERAL ROLE EXPECTATIONS

Our client is seeking an experienced and skilled GIS Technology Specialist to advance the organisation’s geospatial capabilities. The successful candidate will lead the design, implementation, and optimisation 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 Honours 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 (eg Sentinel, Landsat, Planet etc.)
  • Experience delivering Web GIS, dashboards, and production‑ready GIS applications.
  • Map algebra, spatial analysis and spatial statistics.
KEY PERFORMANCE AREAS
  • Enterprise Spatial Data Management
  • Advanced GIS Analysis & Predictive Modelling
  • Map Production, Cartography & Visualisation
  • Automation, Scripting & Tool Development
  • Remote Sensing & Advanced Imagery Analytics
  • Stakeholder & Project Leadership
  • 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, Arc Py), R, and SQL for advanced geospatial workflows and automation. Experience with cloud‑based geoprocessing and platforms (Google Earth Engine, AWS, Azure).

    Web GIS development: experience with APIs, ArcGIS Online/Enterprise, Leaflet, or similar frameworks. Ability to design and deliver dashboards, custom applications, and automated processing pipelines.

    BEHAVIOURAL COMPETENCIES
    • Strategic Thinking – align GIS work with business strategy and long‑term goals.
    • Innovation – champions new tools and methods to improve geospatial outputs.
    • Leadership – mentors’ junior staff and leads cross‑functional projects.
    • Analytical Excellence – interprets complex spatial data and turns it into actionable insights.
    • Collaboration – communicates effectively across multidisciplinary teams and external partners.
    • Adaptability – responds to changing project requirements and technological advancements.
    • Communication – explains technical concepts clearly to non‑technical stakeholders.
    • Attention to detail – Ensures accuracy in data handling, analysis and map production.
    DESCRIPTION OF TASKS / KEY PERFORMANCE AREA / INPUT/TASK / OUTPUT/STANDARD/EXPECTED RESULTS 1 Enterprise Spatial Data Management
    • Design, manage and optimise enterprise level GIS databases and spatial data infrastructure (SDI). Ensure integration of multiple data sources, enforce metadata standards and implement data governance.
    • Maintain geospatial datasets with at least 98% accuracy and completeness.
    • All datasets to comply with metadata standards.
    • Update enterprise GIS within 24 hours of receiving verified new data.
    2 GIS Analysis & Predictive Modelling
    • Conduct spatial analysis, predictive modelling and geospatial machine learning to support strategic agricultural and…
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