•Location: Munich, Germany
•Employment Type: Full-Time, indefinite term
•Salary Range: € 95,000 – 115,000 per year gross, depending on seniority level
•Office First work setup
•Language Requirement: C1 Level English
Your Role
We are looking for a Quantitative Developer to tackle the software, data, and integration challenges across our Virtual Power Plant (VPP) ecosystem.
You will drive and own the roadmap for developing algorithmic execution strategies in the German intraday power market. As our VPP infrastructure matures, you will steadily increase your focus on research on execution-price improvement and market-impact modelling.
Your software-engineering work will centre on architecture design, testing, and project coordination.
Contribute to the technical vision for how Flexa trades flexibility across energy markets and hardware assets, and help make it a reality
Identify new market opportunities and residential flexibility value to shape the data science roadmap and next-gen algorithms
Champion engineering rigor and best practices to foster an open, data-driven engineering culture.
Implement, deliver, and monitor well-engineered, data-driven solutions in our real-time production systems
Be part of a cross-functional team of data scientists, software engineers, and other teams across Flexa's partner ecosystem
Research, develop, and productionise algorithms and models that optimise financial returns from trading the flexibility of Flexa’s residential battery portfolio
Drive the delivery of complex, trading strategy projects from research to production deployment and monitoring — anticipating dependencies and resolving them early
Opportunity to guide and develop more junior colleagues through design review, code review, and structured feedback
University degree in a data-driven or analytical field (Computer Science, Mathematics, Physics, Statistics, or a related quantitative discipline)
5+ years applied data science and/or quant experience, with significant time spent developing trading algorithms in the energy or financial sectors
Proficiency in Python and software engineering practices: testing, code quality, code review, CI/CD, monitoring, and modular code design
Cross-functional collaboration mindset across data scientists, software engineers, and partner-company stakeholders
Deep understanding of trading mechanics: price formation, market microstructure, risk, and the constraints that turn a backtest into a live strategy
Strong knowledge of probability and statistics, incl. time-series data processing, analysis, and forecasting, with a focus on streaming settings
Excellent English communication and interpersonal skills
Independent research experience, excellent analytical skills with strong attention to detail, and the ability to manage multiple tasks in a fast-paced team environment are essential.
Experience designing or owning real-time or near-real-time analytics workflows
Direct experience with energy trading, especially for the flexibility of battery storage systems
Expertise in designing algorithmic trading strategies and modelling market impact within intraday continuous markets
Substantial background in forecasting intraday price movements, modelling order book dynamics, and market microstructure
Experience with both Machine Learning and mathematical optimization development
Proven track record of taking models from research into reliable production on AWS (or comparable cloud)
At Flexa, we are committed to diversity — of backgrounds and experiences. You don’t need 100% of the listed requirements to apply.
Virtual Share Options: we offer virtual share options to all our employees
Professional Development: annual development budget of €3,000 for coachings, trainings, books, and similar
Health & Sport Subsidy: company-subsidised sports facilities membership, or Public Transportation Subsidy
Lunch/Dinner Allowance Vouchers: allowance for meals on working days as digital meal vouchers
Work Equipment: MacBook or Windows laptop, iPhone (also for private use), and an ergonomic workplace setup with company-funded access to leading AI developer tools
Regular Team Events: knowledge sessions, afterwork, sports, offsites, Halloween, Pride Month, and more
Sébastien Schikora — Chief Technology Officer
Sébastien Schikora has been Chief Technology Officer at Flexa since the beginning. He was previously CTO at KONUX (2018–2022), Senior Manager at Tesla in energy storage systems (2015–2018), VP Product Development at Networked Energy Services (NES), and held Director of Product Management and other roles at Echelon Corporation for six years. Earlier in his career he worked on enterprise software at Hewlett Packard.
Maria Neumeier - maria.neumeier@flexa.energy
General: talent@flexa.energy
flexa is on a mission to build Europe's largest Virtual Power Plant (VPP) in the residential sector together with our partners at Enpal and Entrix.
Our mission is to build and operate a Virtual Power Plant that not only delivers significant energy cost savings but also supports the transition to a 100% renewable electricity future. By offering complete residential energy systems at competitive prices and strategically tapping into multiple revenue streams, we are well-positioned to provide substantial real-world savings to our customers. This approach enhances customer satisfaction as they experience the full benefits of an electrified, energy-generating home.
Through a deep integration into the installed hardware and a direct connection to the customer interfaces, flexa’s AI-based solution controls the energy assets (such as EV, heat pump, home storage, and others) of a decentralized energy community with an exceptional level of accuracy, speed, transparency, and thus customer satisfaction. With intelligent algorithms, flexa maximizes customers’ usable flexibility and its returns on energy markets while considering costs, such as grid fees and asset degradation.
We are rapidly growing our team and are hiring experienced tech professionals interested in revolutionizing the energy sector. We are looking forward to receiving your application!
