Engineering Manager - Analytics Platform

Number of employees

4300

London (GB), USA

Posted on: 2026-02-24

Category: energy

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

We're on a mission to make a big green dent in the universe by building a truly sustainable energy system globally.

That means making power greener, smarter, and more affordable for everyone.

We put customers at the heart of everything we do: with always-fair prices, transparency and outrageous customer service.

We drive system change: with transformative tech to make renewable energy the norm and end global reliance on fossil fuels.

Octopus Energy Group is made up of 10 businesses spanning 6 countries across 3 continents, including: Octopus Energy Retail, Kraken Technologies, Octopus Energy Generation, Kraken Flex, Octopus Electric Vehicles, and the Octopus Centre for Net Zero. More on OEG @ octopusenergy.group

Over the past ten years, Octopus Energy Group has expanded from a UK startup to become the UK's largest energy provider and a global leader, serving over 10 million customers across 8 countries.  

We’re starting up a new Analytics Platform team to drive the data strategy across our global business.

About the role

At Octopus we’ve developed data & analytics platforms to power our businesses around the world. We embed automation across all our data workflows – from ELT, to machine learning, to natural language query for thousands of data-hungry users. This supports work across the whole energy domain, from measuring performance of our green energy generation assets to processing trillions of device readings for innovative smart tariffs.

We’re looking for an analytics engineering leader to own the next iteration of our platform and drive its adoption globally. You and your team will be responsible for technical innovation, setting standards, and enabling users who generate insight from data.

The role requires someone who can pair deep technical expertise with a product mindset, and help our Analytics Engineering teams deploy data products that scale.

This is a fantastic opportunity to work on data, analytics and AI problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers use energy.

💚 Why else you'll love it here 💚

💰 Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
• 🎉 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We’ve also been placed in the top 10 companies for senior leadership
• 🎁 Visit our UK perks hub - Octopus Employee Benefits

If this sounds like you then we'd love to hear from you. 🚀

P.S. Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at [email protected] and we’d love to help!

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

What You'll Do...

  • Build & maintain awesome tooling for data transformation, visualisation, and AI – combining the best of open source, SaaS, and in-house tech
  • Establish a data architecture that enables easy discovery, cross-team working, and global reuse of data products – for technical and non-technical users
  • Partner with data teams to scope & prioritise opportunities, and deliver solutions that have measurable business impact
  • Foster a growing community of Analytics Engineers with training, documentation and collaboration
  • Manage a multi-skilled team of 3 - 5 engineers, supporting their development and happiness 
  • What You'll Have...

  • Passion for being at the cutting edge of analytics engineering – dbt is just the start!
  • Breadth and depth of experience in the Analytics development lifecycle
  • Extensive knowledge of Python and Git, with solid software engineering foundations e.g. testing, CI/CD, and observability
  • Ability to work with a range of technical & non-technical stakeholders, managing competing needs and prioritising value
  • Autonomy and pragmatism, as projects will be varied and self-driven

  • Bonus point if you have experience in:
  • Leading small teams
  • Looking after BI platforms like Lightdash, Looker, Omni or Metabase
  • Managing software vendors
  • Our Data Platform Stack...

  • We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies:

  • Python, SQL and dbt
  • Lightdash as our BI tool & semantic layer
  • Streamlit for interactive data applications
  • Databricks data platform with Delta Lake
  • Airflow for orchestration
  • Kubernetes for application deployment
  • CI/CD with GitHub and CircleCI
  • Infrastructure on AWS, deployed with Terraform / Spacelift
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