Location: Stockholm

Position: Full-time

Office policy: Hybrid (flexibility to work from home a couple of days per week)

⚡About rebase.energy

At rebase.energy, we’re on a mission to accelerate the world’s transition to a clean, affordable and reliable energy system. This is a big deal, since energy is responsible for almost three-quarters of worldwide greenhouse gas emissions. We do this by empowering utilities, renewable power producers and energy traders with forecasts to balance supply and demand more effectively in an increasingly volatile power grid. In the Rebase Platform, data from weather, energy and markets is integrated from various sources and channelled through machine learning models to provide operational forecasts to our users. Our data APIs have more than 500 TB of data under management and processing +300 GB of data daily.

If you’re excited about working with real-time datasets, operating a robust platform for users and want to have a tangible impact on the energy transition, read on.

💭 Your Mindset

• You thrive in a fast-moving, collaborative, sometimes uncertain environment and are motivated to keep learning new things.
• You have a can-do mentality and contribute with positive energy to the team.
• You are pragmatic and care about the user impact of your code in the real world (not just about the code itself).
• You have a general passion for working with data and like to try out new practices and tools that can improve your work.
• You are excited to join a company that is building a product with the potential to make a lasting, positive impact on our planet.

🫡 Your Responsibilities

As a Data and Platform Engineer at Rebase, you’ll be at the heart of our platform team. We are right now looking to take the next step in improving our tech stack, which means there will be plenty of opportunities to have a significant impact on architectural decisions.

For this role, we will prioritise candidates who can grow into the position over the longer term, rather than focusing solely on seniority or skills. Your responsibilities include:

• Contribute to data architecture evaluations and decisions to evolve our tech stack to meet customer needs.
• Design and build data integration pipelines that process and deliver weather, market, and energy data in real-time and batch.
• Design and build APIs and SDKs that simplify users’ interactions with our data e.g. by enabling data scientists to iterate on ML model training and backtesting workflows quickly.
• Create documentation for features and APIs to ensure we are living up to our customer promise of being an API-first company.
• Ensure data quality and reliability through monitoring, validation, testing, and robust engineering practices.
• Energy demand and supply both depend heavily on weather, so prepare yourself to learn lots about meteorology!