Junior Data Engineer - Energy Transition

About the role

As a Data Engineer in the Energy Transition Domain, you'll help build data foundations together with a team of machine learning engineers and energy experts. You'll work on solving pressing challenges in the energy transition by ensuring reliable data flows from source to prediction.

What you'll do

• 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 for projects ranging from grid congestion management to portfolio position optimization and investment analysis

What you'll need

• 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 willingness to engage with complex energy domain problems
• An affinity with energy systems, energy markets, and energy-related data, or strong motivation to develop that expertise

Nice to have

• Experience with cloud platforms (AWS, GCP, or Azure)
• Experience working with machine learning systems, particularly forecasting, optimization, or decision-support applications
• Experience building data-intensive applications, platforms, or pipelines
• Experience building and maintaining production-grade data pipelines (batch and streaming) and data platforms
• Familiarity with MLOps practices and tools
• Experience in the energy sector, utilities, or electricity markets

What they offer

• Career growth shaped together with support in a fast-evolving environment
• Work on challenging, diverse projects with real-world impact
• Attractive, optimized total package with salary based on expertise and impact