Algorithm Engineer (6 months FTC)
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Responsibilities
- Build scalable algorithms : Contribute to forecasting, pricing, and optimisation solutions that perform across large and complex data sets.
- Contribute to technical direction : Take part in design discussions for high-volume data processing, helping ensure accuracy, explainability, and reliability in production.
- Collaborate and grow : Work closely with Product, Data, and Delivery teams to translate business and market requirements into working solutions. Learn through code reviews, pairing, and knowledge sharing - and share what you know with others as you grow.
- Improve and evolve systems : Help improve the robustness, performance, and scalability of models, workflows, and distributed systems; contribute reusable components that raise the bar for algorithmic quality.
- What You Bring
- Engineering experience : Hands-on experience designing, developing, or deploying algorithms or data models (e.g., forecasting, pricing, optimisation).
- Technical foundations : Solid working knowledge of Python and parts of the modern data stack (e.g., SQL, Pandas, Polars, DuckDB, NumPy, SciPy; exposure to Dask or PySpark is a plus). Familiarity with microservices or distributed systems is welcome but not required - we'll help you grow into it.
- Data interest : Curiosity about working with large-scale or high-frequency data sources such as smart meter, weather, or IoT data. Direct experience is great; eagerness to learn is just as valuable.
- Communication and collaboration : A clear communicator who works well with others, asks good questions, and shares progress openly.
- Curiosity for energy and impact : Background in SaaS or software environments is helpful; energy-sector experience or strong motivation to learn the domain is a plus.
- Where and how you'd work
- Our flagship office is in Antwerp, and we also have an office in London and co-working spaces in Reading (UK), Austin (US), and Melbourne (ANZ). If you apply from Germany, this is a remote role, if you apply from the UK or Belgium, it will be hybrid.
- Please note that you must be based in Belgium, the UK, or Germany , as we are not able to consider candidates living in other countries. Occasional travel is required to attend team meetings.
Benefits
Additional Information
About Gorilla Join us at Gorilla and be part of a mission to transform the energy industry. At Gorilla, you'll play a vital role in delivering cutting-edge data solutions for a lower-carbon future. We focus on providing efficient, reliable, and flexible SaaS solutions for data processing and analysis in the energy sector. Together, we're driving digital transformation, maximising ROI for clients, and contributing to achieving net-zero emissions through technology and data-driven insights. About the Calculation Algorithms Team The energy transition creates immense challenges and opportunities. Our Calculation Algorithms Team sits at the core of Gorilla's product, turning complex energy data into actionable insights. This team builds the intelligence that powers our customers' pricing, forecasting, and billing capabilities. It's where deep market expertise meets advanced engineering. As part of this group, you'll help design and deliver algorithms that run at scale, process millions of energy data points, and enable energy retailers to operate efficiently in volatile markets. Your Role As an Algorithm Engineer , you'll help design, build, and improve the algorithms and data solutions that form the backbone of Gorilla's platform. You'll work closely with our Energy Experts to turn their market knowledge into working software. With a solid engineering foundation and a problem-solving mindset, you'll contribute to how our platform processes, forecasts, and prices energy data for customers around the world. This role combines hands-on engineering with plenty of room to grow. You'll collaborate across Product, Data, and Delivery teams, learn from experienced peers, and gradually take on more ownership as your impact grows.
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