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Hydrogeological Modeling Specialist Water Resource Management

Job in Upington, 8801, South Africa
Listing for: NamWater
Full Time position Listed on 2026-09-23

Job Description & How to Apply Below

Position: Hydrogeological Modeling Specialist Job Vacancy  Water Resource Management

Position:
Hydrogeological Modeling Specialist

Company:
Nam Water

Location:

Upington, South Africa

Experience:

5-7 years

Education:

Master's Degree in Hydrogeology or Water Engineering

Employment Type:

Permanent

Industry: Water Resource Management

Department:
Water Engineering and Research

Salary: SSP 550,000 - SSP 780,000 per annum

Vacancies: 1

Company Overview

Nam Water is a leading regional authority dedicated to the sustainable management and distribution of water resources across critical arid and semi-arid zones. As a cornerstone of regional infrastructure, we focus on ensuring water security through advanced scientific research and robust engineering solutions. We are committed to excellence in water governance, ensuring that every drop is accounted for and managed with the highest level of environmental integrity.

Our mission is to bridge the gap between increasing water demand and dwindling natural supplies through innovation and strategic planning. We provide essential services that support both industrial growth and community well-being, making us a vital player in the regional economy. For those seeking career opportunities in South Africa, our organization offers a stable and scientifically rigorous environment for professionals dedicated to environmental stewardship.

Job Overview

We are currently seeking a highly skilled Hydrogeological Modeling Specialist to join our specialized research and engineering division in Upington. This role is critical for our long-term water security strategy, as you will be responsible for developing, calibrating, and managing complex numerical models that simulate groundwater flow and solute transport. As the climate changes, understanding the dynamics of our aquifers is paramount.

You will play a leading role in predicting groundwater availability and assessing the impact of extraction and recharge activities. This position is ideal for a scientist who thrives on data-driven decision-making and wants to contribute to large-scale environmental protection projects. You can find more information about our current projects and mission at

Key Responsibilities
  • Develop and maintain sophisticated 3D groundwater flow models using industry-standard software.
  • Analyze borehole data and geochemical signatures to interpret aquifer characteristics.
  • Conduct sensitivity analyses to predict the impact of climate change on local water tables.
  • Collaborate with civil engineers to design sustainable groundwater extraction infrastructure.
  • Prepare technical reports for regulatory bodies regarding water usage and environmental impact.
  • Monitor aquifer health through the integration of real-time sensor data and historical trends.
Required Skills
  • Advanced proficiency in MODFLOW, FEFLOW, or similar numerical modeling software.
  • Expertise in GIS (Geographic Information Systems) for spatial data visualization.
  • Strong statistical analysis skills and ability to interpret complex datasets.
  • In-depth knowledge of hydrogeochemical processes and groundwater chemistry.
  • Excellent technical writing skills for producing regulatory-grade documentation.
Education

A minimum of a Master's Degree in Hydrogeology, Water Resources Engineering, or a closely related Earth Science discipline is required. A PhD is highly advantageous for this specialized research-driven role.

Experience

Candidates must possess between 5 and 7 years of professional experience in groundwater modeling, preferably within a large-scale utility or environmental consultancy setting. Proven experience in managing large datasets and working with multidisciplinary engineering teams is essential for success in this role.

Salary

The annual remuneration package for this position ranges from SSP 550,000 to SSP 780,000, depending on the candidate’s…

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