Balancing Energy Supply and Demand Engineer \ Technologist at SANEDI

Qualifications and Minimum Requirements

• Bachelor’s in Electrical Engineering, Energy Engineering, Power Systems, Applied Mathematics, Economics, or a related field. A post graduate degree would be an advantage.
• 2–5 years of experience in energy, power system modelling, or energy analytics (experience level adjustable).
• Experience working with utilities, system operators, energy consultancies, or regulatory agencies is preferred.
• Experience with renewable integration, storage modelling, hydrogen, or EV impacts
• Knowledge of national or regional energy planning frameworks
• Professional Registration (optional).

Summary of Key Responsibilities and Job Scope

Energy System Planning

• Develop and maintain long-term energy system planning models (generation, transmission, and demand).
• Conduct load forecasting and scenario analysis to assess future energy needs.
• Evaluate capacity expansion, resource adequacy, and system reliability under multiple scenarios.
• Support Energy Planning and least-cost planning studies.

Energy Modelling & Analytics

• Build, calibrate, and validate energy models using tools.
• Analyse impacts of renewable energy integration, storage, electric vehicles, and demand side management.
• Perform production cost modelling, dispatch simulations, and sensitivity analyses.
• Translate complex model outputs into actionable insights for technical and non-technical stakeholders.

Renewable Energy & Energy Transition

• Assess technical and economic feasibility of renewable energy projects and hybrid systems.
• Model variability, intermittency, and flexibility requirements of renewable generation.
• Analyse pathways for decarbonisation, net-zero targets, and emissions reduction strategies.

Policy, Regulation & Stakeholder Support

• Support policy analysis by quantifying impacts of energy regulations, market designs, and incentives.
• Provide analytical inputs for regulatory filings, planning reports, and investment proposals.
• Collaborate with planners, economists, policymakers, and grid operators.

Data Management & Quality Assurance

• Manage large datasets related to demand, generation, fuel prices, and network constraints.
• Ensure data integrity, transparency, and reproducibility of models and analyses.
• Document assumptions, methodologies, and model limitations.