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Axle Energy is seeking an Analytics Engineer to own the daily operations at the heart of UK energy trading, building data pipelines and analyzing flexibility markets. You will collaborate cross-functionally and ensure settlements are reviewed and processes run smoothly.
The role requires strong SQL and Python skills, sharp analytical abilities across MW, kWh and £, and a drive to combat climate change in a fast-moving environment. Hybrid office arrangement in London area.
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.
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.
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.
Compensation Range: £75K - £200K