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Gorilla - Energy data applications

Algorithm Engineer (6 months FTC)

Posted 3 Days Ago
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Remote
Hiring Remotely in UK
Senior level
Remote
Hiring Remotely in UK
Senior level
Lead design, optimisation, and scaling of forecasting, pricing, and optimisation algorithms for large-scale energy data. Translate market requirements into performant, maintainable solutions, improve model robustness and throughput, guide architectural decisions, mentor engineers, and collaborate with Product, Data, and Delivery to deploy reliable SaaS data solutions for energy retailers.
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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 a Senior Algorithm Engineer, you’ll take the lead in designing, optimising, and scaling the algorithms and data solutions that form the backbone of Gorilla’s platform.

You’ll bridge the gap between our Energy Experts’ market knowledge and the engineering needed to make those insights real. With your technical depth and problem-solving mindset, you’ll shape how our platform processes, forecasts, and prices energy data for customers around the world.

This role combines hands-on engineering with technical leadership. You’ll collaborate across Product, Data, and Delivery teams, contribute to architectural decisions, and help set best practices that influence how algorithms are designed and deployed across Gorilla.

What You’ll Do
  • Design and implement algorithms for forecasting, pricing, and optimisation that can scale across markets and data volumes.

  • Lead technical design discussions and guide architectural decisions for high-volume data processing and modelling.

  • Translate complex business and energy-market requirements into performant, maintainable, and explainable data solutions.

  • Improve the robustness, performance, and scalability of existing models and workflows.

  • Mentor peers through code reviews, technical guidance, and knowledge sharing.

  • Collaborate closely with Product, Data, and Delivery teams to ensure accuracy, usability, and reliability in production.

  • Contribute to Gorilla’s growing library of reusable components and frameworks that raise the standard for data and algorithmic excellence.

What You’ll Bring
  • Proven experience designing, developing, and deploying algorithms or data models (for example forecasting, pricing, or optimisation) in production environments.

  • Strong proficiency in Python and experience with the modern data engineering stack such as SQL, Pandas, NumPy, SciPy, Dask, Polars, DuckDB, or PySpark.

  • Experience designing, building, maintaining, and evolving microservice architectures and distributed systems.

  • Experience working with large-scale or high-frequency datasets such as smart meter, weather, or IoT data.

  • Familiarity with SaaS or software product environments; experience in energy or a strong motivation to learn it is a plus.

  • A collaborative and pragmatic mindset, comfortable navigating ambiguity, taking ownership, and guiding others toward technical alignment.

  • Strong communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.

  • Proven experience mentoring and supporting the development of other engineers through code reviews, documentation, and collaborative problem-solving.

  • Technical leadership capabilities, including influencing design decisions, promoting best practices, and driving alignment across teams.

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.

What's in it for you
  • Flexible work options - whether you choose Office Mix or Remote First Mix (currently available within certain timezones and locations). We offer country-specific mobility benefits, and the ability to work flexible hours. You will be equipped with the best technology for remote work.

  • A job with purpose At Gorilla, we’re not just watching the world change—we’re making it happen! We provide cutting-edge data services to energy retailers, helping them tackle climate change while keeping the lights on; we’re here to make a big impact and have some fun along the way.

  • Remuneration Approach which is clear and no-nonsense based on your experience and location.

  • Core Benefits - Wherever your location, you can expect a generous PTO allowance and health insurance coverage.

  • Career Growth opportunities As Gorilla is growing at an incredible pace, you can leave your mark – growing alongside Gorilla. Lifelong learning is part of our DNA, and we care about your individual dreams and ambitions, beyond just work.

  • International Travel We host Gorilla Company-Wide Gatherings where we all get a chance to see each other in real life. Past locations have included Belgium, Portugal, the Netherlands, and Spain.

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