At a Glance
- Tasks: Own and optimise daily operations in UK energy trading and manage critical processes.
- Company: Join Axle Energy, a leader in decarbonised energy solutions with a dynamic team.
- Benefits: Competitive salary, equity options, enhanced parental leave, and hybrid working.
- Other info: Flat structure promoting equity and diversity; we welcome all backgrounds.
- Why this job: Make a real impact in the fight against climate change while shaping the future of energy.
- Qualifications: Strong SQL and Python skills, analytical mindset, and passion for sustainability.
The predicted salary is between 75000 - 200000 £ per year.
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.
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-stated 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
- Initial interview
- Take-home exercise
- Final interview (in-person)
- Offer, references, and welcome to the team!
Analytics Engineer in London employer: Axle Energy Limited
Axle Energy Limited is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Solutions Engineer, you'll have the opportunity to engage with cutting-edge energy technologies while enjoying a culture that prioritises employee growth and development. Located in a vibrant area, we provide competitive benefits and a supportive atmosphere that encourages you to make a meaningful impact in the energy sector.
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We think this is how you could land Analytics Engineer in London
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We think you need these skills to ace Analytics Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Axle Energy Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Axle Energy Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Axle Energy Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Axle Energy Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
