Power Asset Optimiser — Hydro & Thermal Market Optimisation

ENGIE Belgium

Brussel

Sur place

EUR 90 000 - 120 000

Plein temps

Il y a 6 jours
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Avantages offerts par ce poste

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Résumé du poste

ENGIE Belgium seeks a Power Asset Optimiser (F/M/X) based in Brussels to drive optimisation of hydro and thermal assets, combining market operations with algorithmic development. The role blends short-/mid-term production forecasting, bidding strategy design, and project work to enhance portfolio value.

Ideal candidates hold a Master's in a quantitative field, are fluent in French and English, and proficient in Python.

Qualifications

  • Master's degree in a quantitative field (Engineering/CS/Physics/Math/Finance).
  • Fluent in French and English.
  • Programming skills in Python.
  • Analytical, autonomous yet team player.
  • Good understanding of energy markets and market mechanisms.
  • Initiative and ownership of projects.

Responsabilités

  • Forecast and optimise hydro and thermal asset production across short- and mid-term markets.
  • Define and submit bidding strategies on energy markets with ownership of offers.
  • Monitor portfolio performance and reflect asset constraints in optimisation models.
  • Develop algorithms to strengthen asset optimisation and support decision-making.
  • Collaborate with weather experts to improve forecasting models and inflow predictions.
  • Analyse portfolio performance and identify opportunities to increase asset valuation.

Connaissances

Analytical
Autonomous
Team player
Communication skills
Stakeholder management

Formation

Master's degree in quantitative discipline

Outils

Python

Description du poste

ENGIE Belgium seeks a Power Asset Optimiser (F/M/X) based in Brussels to drive optimisation of hydro and thermal assets, combining market operations with algorithmic development. The role blends short-/mid-term production forecasting, bidding strategy design, and project work to enhance portfolio value.

Ideal candidates hold a Master's in a quantitative field, are fluent in French and English, and proficient in Python.

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