Junior Software Engineer bij Dexter Energy Services

Come join us at Dexter Energy, building services that enable our customers to take the lead in the energy transition!


The energy transition makes the electricity system more complex (unplannable renewable energy production, new consumption patterns like EV charging). To cope with this complexity, we provide energy companies with accurate forecasting of electricity production and consumption. Our solution is cloud-based and uses state-of-the-art machine learning technologies. 

The job
We improve and deploy our machine learning pipelines daily. As software developer you will help us build, maintain and scale these pipelines. If you are self-sufficient and have some experience in software engineering, then this job might be for you.

Your mission

  • Write clean, robust and scalable production code

  • Handle data in an efficient and secure way
  • Work closely with CTO and ML engineers

Gevraagd wordt

About you

  • Result-driven and pragmatic

  • Like to work with the best tools (Google Cloud Platform, Kubernetes, GitLab, PyCharm)
  • Tech stack: Docker, Python, Pandas, Scikit, Tensorflow, PyTorch
  • Affinity with data, can work with SQL
  • Interest in cleantech and energy transition

Geboden wordt

Something about us

  • We create awesome technologies that accelerate the energy transition 
  • Small and agile team that builds scalable products
  • We are ambitious but keep room for hobbies

What we can offer you

  • Learn fast
  • Work in clean-tech and create impact on environment
  • Be part of an entrepreneurial team
  • Low hierarchy
  • Open culture


Dexter offers services to energy retailers and large-scale energy consumers to reduce power imbalance. The services consist of forecasting energy loads on asset-level or cluster-level as well as forecasting of short-term electricity prices. Additionally, Dexter unlocks flexibility by offering dispatching solutions to energy-related assets. On the demand side this means shifting energy loads to low-cost moments or to maximize the consumption of self-produced energy. This further reduces their energy bill while contributing to a more sustainable and flexible energy landscape. On the supply side, this is done by controlling the power output to contribute to grid stability. The algorithms built by Dexter use state-of-the-art machine learning technologies.

Rigakade 10 in AMSTERDAM