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# NEW Data & ML Engineer - eMobility (SaaS)

- **Company:** Deftpower
- **Location:** Arnhem, Netherlands (Remote available)
- **Experience:** Experienced
- **Salary:** €5,000 - €6,800
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Microsoft Azure, Software as a Service, Python (Programming Language), SQL Databases, AI Coding Agents, Git, Build Management, Bicep, Machine Learning Operations, Data Pipelines
- **Published:** November 9, 2026
- **Apply:** https://www.adzuna.nl/details/5958348717

## About the Role

* You have 3+ years of experience building data pipelines on high-volume data, and you've put prediction models into production.
 * You're rigorous with data: you test your assumptions and know how far a prediction can be trusted.
 * You take initiative and dig into questions nobody has asked yet.
 * You turn what the data shows into clear choices for technical and business colleagues.
 * You work in English every day. Dutch is nice to have.

Must-have: Python and its data and ML stack, SQL, deploying models to the cloud, Git and pull requests, and curiosity about AI coding tools.

Nice to have: probabilistic forecasting, Azure and Bicep, and experience in energy markets, EV charging or battery optimisation.

## Description

What you do. Prediction is at the core of this role, on two levels. For each driver and charging session, we predict behaviour: when the car leaves, how fast it charges and how much energy it needs. Across thousands of sessions combined, we predict how much flexibility the pool can reliably deliver to the market. Those predictions are only as good as the data and models behind them, and you build both.

 * Design and build the data pipelines behind our predictions, from raw charging and market data to model-ready datasets
 * Keep the data reliable: monitor quality, and catch issues before they reach a model
 * Develop prediction models and put them into production as soon as they beat what's running now
 * Work with our .NET developers to integrate models into the platform, and monitor them once they're live