Solve some of the most pressing challenges in Energy Transition.
Help build data foundations with a team of machine learning engineers and energy experts.
Deal with delayed and evolving data sources.
Industrialize machine learning solutions.
Ensure reliable data flows from source to prediction.
Create robust infrastructure.
Build data foundations behind projects ranging from grid congestion management to portfolio position optimization and investment analysis.

A degree in Physics, Mathematics, Energy Engineering, Computer Science, or a related field.
Strong Python and SQL skills.
Experience with Git, APIs, CI/CD.
Excellent verbal and written communication skills in English.
A consultancy mindset with a strong sense of ownership and initiative.
An interest in understanding the business context behind the data and a willingness to engage with complex energy domain problems.
An affinity with energy systems, energy markets, and energy-related data, or a strong motivation to develop that expertise.
Experience with cloud platforms (AWS, GCP, or Azure) is nice to have.
Experience working with machine learning systems, particularly forecasting, optimization, or decision-support applications is nice to have.
Experience building and maintaining production-grade data pipelines (batch and streaming) and data platforms is nice to have.
Familiarity with MLOps practices and tools is nice to have.
Experience in the energy sector, utilities, or electricity markets is nice to have.

Junior Data Engineer – Energy Transition

Key skills