Data engineer in energy

Repowered helps owners of large-scale energy connections get more out of their energy. With expert advice and smart software, we align generation, consumption and storage. We intelligently control solar parks and wind turbines and deploy batteries when it is advantageous. This helps our clients get more value from their energy systems. All these choices depend on good data. We work with real-time measurements, weather data, market signals and detailed asset configurations. This data feeds our optimization, machine learning and forecasting, and forms the basis for our financial settlements. Do you want to ensure this data is reliable, reusable and well-structured? Join our team as a Data Engineer.

• Building and maintaining data pipelines for high-volume time series, such as measurements, IoT and sensor data, weather feeds and financial data.
• Modeling complex asset configurations so they are consistent, easy to find and reliable for the whole company.
• Monitoring data quality, reliability and observability so errors do not affect decisions or payments.
• Working with the forecasting, ML, operations, trading and settlement teams, and providing the data they need in the desired format and at the right time.

• We are looking for someone with a genuine data engineering mindset. You understand the trade-offs involved in designing shared, reusable data layers and want to build that foundation.
• You take initiative and ownership: you form a clear picture of how to build things and build them together with a multidisciplinary team. Your engineering experience helps determine which trade-offs are worthwhile.
• Several years of practical experience in data engineering (medior level).
• Strong Python skills, including pandas or a comparable library, and strong SQL skills.
• Experience with time series or large-scale measurement data.
• Experience with containerized services and modern data warehousing concepts.
• Будет плюсом: Knowledge of the energy domain; Experience with ClickHouse or other column-oriented or OLAP databases; Experience with S3-compatible object storage; Working knowledge of Kubernetes

• A gross monthly salary between €3,746 and €6,095 per month (based on 40 hours).
• A personal budget of 12% on top of your salary, of which 8% is holiday pay and 4% is for personal purposes. For example, you can use it for extra vacation days, additional pension contributions or a tax benefit on your sports subscription.
• 26 days of leave for full-time employment, plus 2 additional collective days off.
• A pension scheme in which Repowered pays two-thirds of the contribution.
• Opportunities for professional and personal growth through courses and further training.
• An NS Business Card for commuting and business travel.
• Flexible and hybrid working, with attention to a good work-life balance, at one of our modern offices or from home, including a €400 home-working budget.