Analytics engineering

Axle Energy; City Of London; Hybrid; GBP 75,000 - 200,000; Full time

Benefits offered by this job

Enhanced parental leave

Bi-annual retreats

Hybrid working

Equity offered

Job summary

Axle Energy is seeking an Analytics Engineer to own and optimise core operational processes in the heart of the business. You will develop deep understanding of UK flexibility markets, crunch data, and drive daily and monthly operations from the Axle control room.

Your role includes leading daily trading processes, reviewing settlements, debugging edge cases, and communicating insights to cross-functional teams.

Qualifications

• Strong SQL and Python skills for analysing data, investigating issues, and automating processes.
• Strong analytical skills and ability to communicate insights to cross-functional teams.
• Motivation to combat climate change and work in a fast-moving environment.

Responsibilities

• Own operations for UK energy trading processes, including daily trading and settlements review.
• Debug complex edge cases across trading, asset registration, and settlement processes.
• Identify risks to revenue and delivery and proactively mitigate them.
• Communicate insights and actions clearly to engineering and commercial teams.
• Build and maintain relationships with DSOs and UK market regulators.

Skills

SQL

Python

Data analysis

Job description

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.

What you will be doing

• Owning operations for our UK energy trading (e.g. daily trading processes, reviewing settlements)
• Debugging complex edge cases across our trading, asset registration and settlement processes
• Identifying risks to revenue and delivery and proactively mitigate them
• Communicating insights and actions clearly to engineering and commercial teams
• Building and maintaining relationships with key stakeholders in Distribution System Operators (DSOs) and UK market regulators, We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation.

Enhanced parental leave to support you through life's meaningful moments. Bi-annual retreats to strengthen team connection & shared purpose. Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office. The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world. 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,

• Strong SQL and Python skills for analysing data, investigating issues, and automating processes
• Strong analytical skills: you'll be speaking MW, kWh, and £ every day
• A deep-seated motivation to combat climate change
• Comfort operating in a fast-moving, ambiguous environment
• A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k-£200k (base salary + equity).