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Open nowPosted 19 days ago

Analytics Engineer

Axle Energy12 open roles

Pay
£75,000 – £200,000 a year
Where
London
Work mode
Hybrid
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Your applicationOpen nowAnalytics EngineerAxle Energy · London

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Axle Energy postings stay open a median of 9 days.

Share of postings closed within
  1. 1.7%1 day
  2. 3.5%3 days
  3. 7.8%7 days
  4. 14.6%14 days
  5. 34.0%30 days
This job: posted 19 days ago

Axle Energy median: 9 days open

The posting

ABOUT US

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 https://www.axle.energy/blog/analysis/power-of-the-home.

ABOUT THE ROLE

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

IT WOULD BE GREAT IF YOU HAD

- 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

BENEFITS

A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity).

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, please do reach out, even if you feel you might not ‘check all the boxes’.

INTERVIEW PROCESS

1. Initial interview

2. Take-home exercise

3. Final interview (in-person)

4. Offer, references, and welcome to the team!

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