Algorithmic Trader

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

Algorithmic Trader (Renewables & Flexibility) (F/M/X)

Location: Brussels

Are you passionate about algorithmic trading, data-driven decision making and energy markets?

Do you enjoy building trading strategies from research to production and turning complex market signals into automated value creation?

Would you like to contribute to the optimization of large-scale battery storage, renewable assets and short-term power portfolios in a rapidly evolving energy landscape?

Then this job is for YOU.

For our Short-Term Power Markets division, we are currently looking for an Algorithmic Trader (Renewables & Flexibility) (F/M/X) based in Brussels.

We Offer you as Algorithmic Trader:

• A competitive salary package, with numerous extra‑legal benefits:
  • A tax‑optimized bonus plan
  • Hospitalization and medical expenses insurance
  • Meal vouchers of 10 EUR with net contribution of 1,09 EUR
  • An attractive retirement plan
  • Green (electric) Company car with load pass for Belgium and neighboring countries or a green alternative through our mobility plan
  • A public transport subscription; our offices are less than 10 minutes from Brussels North station

YOUR RESPONSIBILITIES as Algorithmic Trader:

As an Algorithmic Trader, you will play a key role in the development and execution of automated trading strategies across European short-term power markets. You will contribute to ENGIE’s ambition of building a fully automated and data-driven trading environment.

• 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.

YOUR PROFILE as Algorithmic Trader:

• 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.

WHY JOIN THIS TEAM?

You will join a recently established and highly motivated team with a strong entrepreneurial mindset and a clear ambition: transforming short‑term energy trading through automation and advanced analytics.

The team is responsible for developing trading strategies across a portfolio representing several gigawatts of:

• Battery Energy Storage Systems (BESS)
• Wind assets
• Solar assets
• Proprietary trading activities

You will have the opportunity to directly influence both trading performance and the design of future trading platforms while working with experts from trading, quantitative analysis, data science and technology.

This is a highly visible role where your ideas, technical expertise and initiative can have immediate business impact.

OUR RECRUITMENT PROCESS

• Selected candidates will be invited for a first interview.
• If your application is not retained, we will provide qualitative feedback whenever possible.

Research shows that men apply when they meet 60% of the requirements while women only apply when they are convinced they meet 100%. Don’t let that hold you back, we’d love to hear from you!

More About Us

ENGIE Supply & Energy Management (S&EM) is the energy management business unit of ENGIE and plays a key role in delivering reliable, affordable and low‑carbon energy solutions worldwide.

By joining S&EM, you become part of a global community of more than 10,000 energy professionals across 20 countries, working together to accelerate the energy transition and provide decarbonized energy 24/7.

At ENGIE, we believe innovation, diversity and inclusion are key drivers of performance and progress. We are committed to creating a workplace where everyone can thrive, contribute and grow.

Our positions are open to all, including candidates with disabilities, and we are dedicated to providing an inclusive and supportive recruitment process.

Business Unit: Supply & Energy Management

Division: EC Trading & Optimisation

Legal Entity: ENGIE GLOBAL MARKETS, BELGIAN BRANCH

Company Name: ENGIE Belgium

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