Repowered helps owners of large-scale commercial energy connections get more out of their energy. With expert advice and smart software, we coordinate generation, consumption, and storage. We intelligently manage solar farms and wind turbines and deploy batteries when it makes the most sense. This allows our customers to get more value out of their energy systems.

All of these decisions depend on reliable data. We work with real-time measurements, weather data, market signals, and detailed asset configurations. This data powers our optimization, machine learning, and forecasting, and forms the basis for our financial settlements.

Do you want to ensure that this data is reliable, reusable, and well-structured? Join our team as a Data Engineer.

Your role on the team

As a Data Engineer, you’ll work in our Data Processing & Forecasting team to build Repowered’s data foundation. Our platform is already robust and data-driven, but we want to structure our data more strategically: through standardization, a medallion architecture, shared master datasets, and reusable analysis datasets. A medallion architecture stores data in layers, from raw to cleaned to business-ready. Shared datasets serve many users and help other teams work faster.

In addition, you will also be responsible for:

• 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 that they are consistent, easy to find, and reliable across the entire company.
• Ensuring data quality, reliability, and observability so that errors do not affect decisions or payments.
• Collaborating with the forecasting, ML, operations, trading, and settlement teams, and providing them with the data they need, in the desired format and at the right time.

What do you bring to the table?

We’re looking for someone with a true data engineering mindset. You understand the trade-offs involved in designing shared, reusable data layers and are eager to build that foundation. You take initiative and ownership: you develop a clear vision of how to build things and bring that vision to life together with a multidisciplinary team. Your engineering experience helps you determine which trade-offs are worth considering. In addition, you have:

• Several years of practical experience in data engineering (mid-level).
• Strong Python skills, including pandas or a similar library, and strong SQL skills.
• Experience with time series or large-scale measurement data.
• Experience with containerized services and modern data warehousing concepts.

Extras – it would be great if you could bring these:

• Knowledge of the energy sector.
• Experience with ClickHouse or other column-oriented or OLAP databases.
• Experience with S3-compatible object storage.
• Practical knowledge of Kubernetes.

What do we offer you?

About Repowered

With about 45 colleagues, we’re large enough to tackle complex energy challenges and small enough to maintain short lines of communication and an informal culture where everyone knows each other personally. Within Data & IT, you’ll work with passionate young professionals in short sprints on our platform and the smart control of energy installations. The energy market is constantly changing, which means our technology is also continually evolving. Colleagues share their knowledge and collaborate on solutions that help make better use of renewable energy.

Hybrid work

Repowered has offices in Groningen and Amsterdam. If you don’t live near Groningen, we’ll ask you to be in Groningen one to two days a week during your onboarding period so you can get up to speed. After that, it’s important that you’re in Groningen every other Monday, at the start of our biweekly sprint.

Interested?

Apply using the application form on our website and become part of the Repowered team! Do you have any questions? Please contact Anita de Ridder, our Corporate Recruiter, at 06 14328706 or anita.deridder@novar.nl. The application deadline for this position is Wednesday, November 25.

Recruitment agencies are asked to refrain from contacting us regarding this position.