Do you feel that working in a traditional software house no longer fulfills you?
Do you enjoy turning data, mathematics, and algorithms into real-world impact?
If you can code in Java or Python, you are strong in mathematics, and want your work to directly influence cleaner energy production, this role is for you.
We are looking for enthusiastic, scientifically minded individuals who want to take more responsibility, gain visibility, and contribute to a greentech company shaping the future of energy.
Your Role
You will be part of the VPP Optimization & Control Team, working at the core of our Virtual Power Plant platform.
Your responsibilities will include:
- Analyzing energy asset control algorithms and evaluating their performance
- Improving, testing, and validating control and optimization algorithms
- Developing digital twins of physical energy assets
- Investigating and resolving issues during system outages or anomalies
- Processing and validating data critical for VPP operation
- Close collaboration with backend developers data scientists and DevOps engineers
Your work will be visible, impactful, and directly connected to real energy systems.
Required Skills
- Proficiency in Java or Python (minimum 3 years of programming experience)
- Experience with cloud platforms (AWS, Azure, or Google Cloud)
- Strong mathematical and analytical thinking
- Scientific mindset and problem-solving orientation
- Work with databased
- Ability to work with data and complex systems
Nice to Have
- Knowledge of optimization methods (linear, nonlinear, mixed-integer, stochastic)
- Experience in the energy domain or Virtual Power Plants
- Background in power engineering
- Experience with time-series data from physical assets
- PhD in Engineering, Physics, Mathematics, or IT
What We Offer
- A high-impact role in a fast-growing greentech company
- Deep expertise in the energy domain, one of the most stable and future-proof industries
- A team of smart, supportive, and motivated colleagues
- Regular company events: outings, social events, river weir trips, pub quizzes, bike trips, and more
- Flexible working hours and home office options
- Support for education and growth (seminars, conferences, learning budget)
- International reach and real-world impact
- Competitive salary and performance-based bonuses
- Employee share program
- Clear career growth opportunities
- Salary: from €2,300+, depending on experience and capabilities
