Balancing Energy Supply and Demand Engineer / Technologist

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).

Technical and Skills Required

• Experience with databases and data processing.
• Understanding of power systems, electricity markets, and energy economics.
• Familiarity with GIS tools is an advantage.

Key Competencies Required

• Strong analytical and problem-solving skills.
• Ability to communicate complex technical results clearly.
• Scenario-based and systems-thinking mindset.
• Attention to detail and documentation.
• Ability to work independently and in multidisciplinary teams.

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 demandside 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 decarbonization, 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.