Quantitative Engineer

Tibber is a different company in a very traditional industry. We are aiming to create the best digital tool so that you as a user can apply new technologies to reduce energy consumption and power costs.

We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market.

Tibber is overturning the energy landscape and building a battery out of hundreds of thousands of electrical devices, such as Electrical Vehicles and Home Batteries, to help the European grid shift away from using coal. Tibber was the first in Europe to deliver frequency control reserve at a commercial scale with an aggregated pool of electric vehicles and we are on a mission to build Europe's largest residential virtual power plant.

We’re looking for a Quantitative Engineer to join us in making the energy transition happen – maybe that’s you?

Job Mission 🚀

The Trading team is responsible for short-term power and flexibility trading of the Tibber portfolio. This includes developing and implementing algorithmic trading solutions that automatically balance our portfolio, trade and steer asset flexibility in real-time, and run proprietary trading activities. Additionally, the team is responsible for developing and managing demand and price forecasts in order to commercially optimise Tibber’s portfolio in the relevant energy markets

What you'll do ✅

As a Quantitative Engineer, you’ll play a crucial role in building the tools, models and trading strategies that would drive our success in existing and new markets, and making smarter energy decisions for our customers. Key responsibilities include, but aren't limited to :

Building optimisation models that schedules our assets given the available markets

Develop algorithmic trading strategies to bring the above assets to the market

Support our engineers in building this into a robust production system and data pipelines

What we're looking for⚡

Experience modeling business ideas and problems as mathematical optimisation problems and running them in a production environment

Experience working with the Python language data and optimisation ecosystem

Experience working with data lakes and relational databases

Extra points for :

Working knowledge of the energy markets domain

Experience building automatic trading algorithms

Data science experience (e.g. modeling and forecasting of time series data)

Backend engineering experience (e.g. writing code and tests, REST APIs, CI / CD pipelines, working with cloud providers like AWS, Kubernetes etc.)

The Tibber Mindset 💆🏻‍♀️💆🏽‍♂️

Tibber is not your typical energy supplier. Our tech helps hundreds of thousands of households lower and shift their energy consumption to more sustainable and affordable hours. We’re here to accelerate the energy transition – not in theory, but in everyday life.

Being on a mission to change an industry, fundamentally also means being prepared for the unexpected. We do what others say can’t be done, try and fail together but never lose sight of our users. We work passionately with sustainability and a circular approach, both with our own products and in the entire ecosystem that is affected by everything we do.

Starting out with two passionate founders in 2016, we're now 300+ people working for Tibber in our offices in Stockholm, Førde, Berlin, Amsterdam, Oslo, and Helsinki. We will continue to grow within our markets, and we are thrilled to be backed by investors like Balderton Capital, Eight Roads Ventures, Founders Fund, Summa, and Schibsted.

Diversity of thought fuels better products, so we welcome applicants of every background, identity and lived experience. Ready to be part of powering the energy transition? Apply below!