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$ cat jobs/algorithm-engineer-6-months-ftc-gorilla-549b2f1f49d5.json

Algorithm Engineer (6 months FTC)

Gorilla·Worldwide·Belgium·mid
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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