Data Management Expert/ d)

il y a 2 semaines


Gand, Belgique Companion.energy Temps plein

DR We help large enterprises cut energy costs and carbon emissions by steering their energy use in sync with market prices and renewable generation.
We’re hiring a Data Scientist to build and improve the models behind power and balancing market strategies, and to turn forecasts into executable trading logic in real-time.
You’ll work at the intersection of data, trading, and operations, interfacing with the right data sources and deploying your models into production alongside our rockstar engineering team.


energy connects the financial side of energy management (contracts, markets, risk) with the operational side (assets, processes, sites). We model complex energy contracts and flexible assets, forecast demand/production, and translate predictions into automated, minute‑by‑minute decisions that move megawatts and money. Our software is used by large B2B enterprises and energy players to lower OPEX, increase renewable usage, and manage risk.


You will work at the interface of markets and megawatts: forecasts and schedules that drive real financial outcomes.
Bridge software and the physical world
We’re writing code that helps real assets react to market signals, every minute of the day.
Join early, help shape the future
Small team, big impact. You will influence our market models, data pipelines, and you will have direct trading impact.
Helping companies adapt to a volatile energy landscape isn’t just smart business. It accelerates the energy transition.

Identify, and interface with the right data sources.
Creating actionable trades in power and imbalance markets from your forecasts taking into account uncertainty
Work with our engineering team to deploy models seamlessly and automate data ingestion.
Passion for the energy transition, and excitement to work in a fast-growing startup.
Operations research (MPC, MILP) and probabilistic forecasting.
Familiarity with real-time ML pipelines or monitoring (feature stores, model registries).
Intro call → practical integration/build case → follow-up conversations with the team and founders.
We keep it simple and move fast.


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