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Axle Energy is seeking an Analytics Engineer to own and optimise daily UK energy trading and asset operations, building data pipelines and understanding flexibility markets. You will work cross-functionally with engineering and commercial teams, analyzing MW, kWh, and £, and identifying revenue risks while improving settlements and registrations.
Hybrid work with a dog-friendly office near Farringdon; total compensation £75k-£200k plus equity.
At Axle Energy, we're building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets. We're building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we're growing the team to meet customer demand. We're proud to be supported by world-leading investors, including Energize Capital and Accel. Read more about what we're building here .
Axle has quickly become the leader in our operational markets, and we are looking for someone to help run and optimise the rhythms at the heart of the business. We are looking for someone to develop a deep understanding of flexibility markets across the UK, who can collaborate cross-functionally, crunch numbers, and own critical daily and monthly operational processes. Owning daily operations means sitting at the heart of the 'Axle control room'. This involves running and optimising the most critical operations processes in the business: asset management, trading across UK flexibility markets, and ultimately ensuring our clients and end customers get paid for the flex they deliver. A note on the job title: Analytics engineering is often closely associated with dbt. We don't use dbt at Axle because our data set up doesn't require a full ETL framework. Instead, this role is centred on the core analytics engineering skill set: developing a deep understanding of source data and building the data pipelines that power our analytics.
We are extremely keen to build a diverse company, and we're particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you're motivated by our mission, please do reach out, even if you feel you might not 'check all the boxes'.