AFRIGIS CAREERS
We are looking for tenaciously curious individuals to join our team.
Get in touch if you are also passionate about creating an insightful picture of WHERE.
Data Unit Manager
AfriGIS seeks a dynamic and results-driven Data Unit Manager to join our team.
Qualifications & Experience:
- Bachelor’s degree (Master’s preferred) in Computer Science, Data Science or a related field.
- 8+ years of experience in data management, data science or a similar role, with at least 3 years in a leadership capacity.
- Background in AI model development, machine learning, and predictive analytics.
- Proficiency in programming languages (Python, R, SQL) for data processing and automation.
- Extensive experience in data cleaning and data mining principles.
- Strong background in data analysis, visualisation, and predictive modelling.
- Excellent communication skills, with the ability to present complex spatial data to non-technical stakeholders.
Intermediate Database Administrator (DBA), Contract Position
AfriGIS seeks a dynamic and results-driven Database Administrator to join our team.
Qualifications & Experience:
- Relevant tertiary qualification in Computer Science, Information Systems, or a related field.
- 3 - 5 years of experience administering Microsoft SQL Server and/or PostgreSQL.
- Certification in Microsoft SQL Server (e.g., MCSA/MCSE) or PostgreSQL (e.g., EDB PostgreSQL Associate).
- Strong working knowledge of:
- T-SQL and/or PL/pgSQL.
- Expertise in backup/restore strategies and disaster recovery planning.
- Proficiency with query performance analysis tools.
Data Specialist
AfriGIS seeks a dynamic and results-driven Data Specialist to join our team.
Qualifications & Experience:
- 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.