Data Specialist

 Data Specialist



Company          : The Talent Room

Location           : Pretoria, South Africa 

Contract Type : Permanent 

Salary                : Negotiable 

Published         : 12 September 2025


Our client is seeking a Data Specialist who will bring deep technical expertise and strategic oversight to ensure optimal data management and utilisation. This role requires a highly skilled professional with extensive experience in data, particularly spatial data, who can tackle complex technical challenges and drive innovative data solutions to support business objectives. The Data Specialist will play a pivotal role in technical implementation, operational efficiency, and project execution, ensuring the seamless integration of spatial and other data into company initiatives.


Requirements:


  • Bachelor’s degree (Master’s preferred) in Geoinformatics, Geospatial Science, Computer Science, or a related field.
  • 8+ years of experience in GIS, spatial data management, or a similar role.
  • Extensive experience with one or more GIS software tools (QGIS, MapInfo, ArcGIS) and spatial databases (PostGIS, SQL Server and Oracle).
  • Deep knowledge of datasets, such as deeds and cadastre.
  • Proficiency in SQL for spatial data processing and automation.
  • Experience in machine learning and AI applications in geospatial analytics.
  • Strong background in geospatial data analysis, visualisation, and predictive modelling.
  • Geological classification map styling knowledge to ensure correct data visualisation.
  • Extensive experience in the South African data environment that includes in-depth knowledge of local datasets.
  • Experience in data cleaning, geocoding and data mining principles.
  • Excellent communication skills, with the ability to present complex spatial data to non technical stakeholders.

Advantageous but not mandatory:

  • Registration with the South African Geomatics Council (SAGC) as Professional GISc Practitioner.
  • Proficiency in programming languages such as Python and/or R for spatial data processing and automation.
  • Experience and understanding of Deeds data.
  • Experience and understanding of CIPC data.
  • Experience and understanding of OLAP. 

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