Trading Data Engineer

Munich (DE)

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Octopus Energy

Octopus customers pay less: Cheaper than price-cap prices, rewards for using less when the grid is stressed, and smart tariff savings for your home, car or battery

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At Octopus Energy Trading, we’re on a mission to reshape the future of energy. As part of Octopus Energy Group, we’re creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting-edge technology to optimise everything from domestic EV charging to grid-scale batteries, to meet the global demand for energy flexibility.
We’re looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system.
We're looking for a Trading Data Engineer (f/m/d) to join our German and Western European intraday trading team. You should have strong Python skills, know how to manage Redis cache, AWS S3 or DBT, and bring experience in the German or European power market. You'll work in a fast-paced, tech-driven environment and collaborate closely with traders and developers to turn data into real trading decisions.

What You'll Do

  • Build and maintain models to forecast power demand, renewable generation, and prices in the German and Western European intraday markets
  • Develop robust data pipelines to collect, clean and combine internal and external data (e.g. grid, weather, or market data)
  • Analyse market data and derive insights to optimise trading strategies
  • Help build tools for automated trading and market analytics
  • Contribute to models predicting local grid congestion and identifying flexibility opportunities
  • Collaborate closely with our Trading, Flexibility and Tech teams across Germany and the UK
  • Support the development of our forecasting and analytics frameworks across the business

What You'll Need

  • Excellent Python programming skills
  • Experience with time series data, forecasting, and machine learning (e.g. Redis cache, AWS S3, Databricks, Grafana)
  • Exposure to the German or European electricity market (e.g. EPEX Spot, Redispatch, TSOs)
  • Experience building data pipelines and automating data workflows
  • Ability to clearly communicate modelling approaches, including assumptions and limitations
  • A structured, quality-focused way of working and a desire to take ownership
  • Enthusiasm for accelerating the energy transition and optimising flexible power systems
  • Fluent German and English (both are required)

Why else you'll love it here

  • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
  • Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership and most recently The Sunday Times, Best Places To Work 2023
  • Visit our UK perks hub - Octopus Employee Benefits
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Databricks Data pipelines dbt Grafana Machine Learning Pipelines Python Trading Strategies

Perks/benefits: Career development Flex hours

Region: Europe
Country: Germany

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