Algorithmic Trader – Renewables & Storage (Brussels)

ENGIE Belgium; Brussel Hoofdstad; Sur place; EUR 80 000 - 140 000; Plein temps

Avantages offerts par ce poste

Tax-optimized bonus plan

Hospitalization and medical expenses保险

Meal vouchers

Retirement plan

Green company car with load pass

Public transport subscription

Résumé du poste

ENGIE Belgium is seeking an Algorithmic Trader (Renewables & Flexibility) to design and deploy automated trading strategies across European short-term power markets from Brussels. You will own the lifecycle from research to production, focusing on battery storage and renewable assets.

You will collaborate with data scientists, traders and IT to build scalable, low-latency trading systems and new automation opportunities in a rapidly evolving energy landscape.

Qualifications

• Master's degree or PhD in a quantitative discipline such as Mathematics, Physics, Operations Research, Electrical Engineering, Computer Science or related fields.
• At least 5 years of professional experience in developing complex data-driven systems; experience in trading, commodities or energy markets is an asset.
• Strong programming and software engineering skills in Python, with experience using Git, SQL and modern software development best practices.
• Proven experience in data analytics, machine learning and building scalable analytical or decision-support systems.
• Strong problem-solving mindset, intellectual curiosity and ability to translate complex challenges into practical solutions.
• Collaborative, proactive and autonomous team player with excellent communication skills; knowledge of European power markets is considered a strong advantage.

Responsabilités

• Develop and optimize algorithmic trading strategies for battery energy storage systems (BESS), renewable assets and proprietary trading activities across Day-Ahead, Intraday and Ancillary Services markets.
• Own the full lifecycle of trading strategies, from signal research and back-testing to implementation, deployment and performance monitoring.
• Design, build and maintain robust, scalable and production-grade trading applications and frameworks.
• Collaborate closely with analysts, quantitative experts, traders and IT teams to transform market insights into automated decision-making tools.
• Continuously improve the architecture, reliability and performance of trading systems while ensuring low-latency execution capabilities.
• Support the development of hybrid algorithmic and manual trading approaches and identify new opportunities to generate value through automation and innovation.

Connaissances

Python

Data analytics

Machine learning

Problem solving

Formation

Master's or PhD in a quantitative discipline

Outils

Git

SQL

Description du poste

ENGIE Belgium is seeking an Algorithmic Trader (Renewables & Flexibility) to design and deploy automated trading strategies across European short-term power markets from Brussels. You will own the lifecycle from research to production, focusing on battery storage and renewable assets.

You will collaborate with data scientists, traders and IT to build scalable, low-latency trading systems and new automation opportunities in a rapidly evolving energy landscape.