About the role
️About Volter
AI and renewables are the 21st Centuries two largest megatrends and they're colliding in the world's largest industry: energy. AI has made intelligence abundant, so human brains are no longer the bottle neck, cheap and secure power is.
The people, businesses and countries that have access to cheap, clean and secure power will lead this century. Renewables can deliver it, but they’ve turned a previously static predictable commodity into a huge complex changing forecasting and optimisation problem that the industry’s decades-old systems were never built to solve.
Volter exists to solve it. We’re building the first AI native operating system for business energy, so that every business can run on power that’s cheaper, cleaner and more secure. Octopus and Kraken did this for homes; we’re doing it for business.
And it’s working. We launched our platform in early 2026 and have already 20x revenue with customers from all across the UK now using the Volter platform. We’re still a small team, so you’ll shape the product, the tech and the culture from the ground up.
Where you plug in
Our platform runs on data: half-hourly meter reads, market prices, forecasts, trades and tariffs all feed the products that price, match, and bill our customers' energy. We’re hiring a Senior Engineer with a data-oriented bent to own and scale our data foundations, while building the product on top of them. In your first year, success looks like data pipelines the business trusts, faster and more reliable pricing and billing, and a product that you've shipped end-to-end that customers and our ops team use every day.
️ What you'll power
Build and own the pipelines that bring data into Volter: half-hourly meter feeds, market and price data, network tariffs, weather data, and other third-party sources.
Own our data foundations: schema design, data modelling (lots of time-series), query performance and data quality, so our customers and partners can rely on it.
Ship product features end to end, from data/backend services and APIs through to the customer-facing flows on top of them.
Shape what we build with commercial, ops and data science: understand the real problem, scope a v1, then measure it and decide what comes next.
Challenge how we do things: bring your experience to architecture decisions, name the trade-offs and push back when there's a better way.
Partner with our data scientists to improve forecasting and pricing models.
Run what you build in production, with logging, monitoring, and alerting that keep it reliable.
Raise the engineering bar through code reviews, testing, and helping other engineers grow.
What you'll bring
Several years as a broad-based software engineer, with a track record of owning complex features and systems end-to-end in production.
Hands-on data engineering: you've built and run ETL pipelines and worked deeply with databases in data-intensive systems, ideally including time-series data.
Strong data fundamentals: knowledge about database technology choices (OLTP, OLAP), schema design, data modelling, query optimisation and data quality.
Product instincts as well as pipelines: you enjoy shipping user-facing features and solving user problems as much as building data pipelines.
Proficiency across the stack: backend in Go and/or Python, frontend in TypeScript and React, plus cloud deployment (we use AWS), and infrastructure-as-code (we use Terraform).
Fluency in AI-driven engineering: you see its value and use it day-to-day, with established processes for high and consistent standards
Confidence to challenge the status quo, make sound calls in ambiguity and advise the team as a peer.
Nice-to-haves
Experience in energy, utilities or another data-heavy, regulated market such as fintech.
Building at an early-stage startup, balancing speed with technical debt.
Previous experience working with data scientists on forecasting or modelling.
Event-driven architectures and security-aware development (least privilege, auditability, PII handling).
Your kind of energy
How we bring the Volter values to life in this role:
Integrity, trust and transparency: When the data looks wrong, or a project is slipping, you say so early, with options and a recommendation. When you disagree, you push back with evidence, then commit.
Growth, ambition and excellence: You hold a high bar for quality, learn new domains fast by building, and leave our systems better than you found them.
Getting sht done: You ship in days, not weeks. You pick the pragmatic option that gets useful things to customers, then measure whether it worked.
Electric enthusiasm: You're always learning, whether that's a new corner of the energy market or a better way to build, and you bring the team with you. You share what you find, pair on hard problems and help everyone around you get better.
Fun and humble: You bring levity to the team, especially when things get intense. You can laugh at yourself, celebrate other people's wins and keep the mood up on a tough week, and you're happy for the best idea to win, whoever it comes from.
How we work
We're together in our Old Street office four days a week, because the best ideas and energy (!) still happen in the same room. You'll work directly with founders who've built and scaled businesses to multi-billion-dollar valuations.
- The perks
- Competitive salary and generous equity
- 25 days’ holiday plus public holidays
- Regular team days to connect and collaborate
- From application to offer
- Intro call with our talent team (30-45 min): getting to know you, and you getting to know us
- Tech interview with our Tech Lead (30 mins)
- Virtual live coding challenge (45 mins)
- In-person case study & interview with founders at our Old Street office
Ready to switch on? Apply below!
