Power Asset Optimiser: Hydro & Thermal Markets

ENGIE Belgium; Ukkel; Sur place; EUR 100 000 - 140 000; Plein temps

Avantages offerts par ce poste

Shift premium

Résumé du poste

ENGIE Belgium is seeking a Power Asset Optimiser (F/M/X) based in Brussels to join the Algo Optim & Trading Hydro & Thermal team. You will combine market expertise with algorithmic development to optimise a portfolio of hydro and thermal assets.

You will work on asset production forecasting, bidding strategies, model refinement, and close collaboration with weather and risk teams, in a hands-on, fast-paced environment with shift-based work and a clear path to value creation.

Qualifications

• Master's degree in a quantitative discipline (Engineering, Computer Science, Physics, Mathematics, Finance or related).
• Fluent in French and English.
• Strong programming skills in Python.
• Analytical, autonomous yet team player with initiative.
• Good understanding of energy markets and market mechanisms.

Responsabilités

• Asset optimisation: forecast and optimise hydro and thermal production across short- and mid-term power markets.
• Define and submit bidding strategies, monitor performance of a diversified asset portfolio.
• Develop and refine optimisation algorithms; collaborate with weather experts to improve forecasts.
• Contribute to valuation, pricing activities and hedging strategy reviews.
• Participate in automation initiatives to improve time-to-market and efficiency.

Connaissances

Python

Energy markets

Analytical

Team player

Stakeholder management

Bilingual FR/EN

Formation

Master's degree in quantitative field

Outils

Python

Description du poste

ENGIE Belgium is seeking a Power Asset Optimiser (F/M/X) based in Brussels to join the Algo Optim & Trading Hydro & Thermal team. You will combine market expertise with algorithmic development to optimise a portfolio of hydro and thermal assets.

You will work on asset production forecasting, bidding strategies, model refinement, and close collaboration with weather and risk teams, in a hands-on, fast-paced environment with shift-based work and a clear path to value creation.