Ohme · London, England, United Kingdom
This is a live UK-based role at Ohme, a UK Skilled Worker sponsor tracked by Sponsorly AI against the Home Office register. Posted 2 October 2026. Listed as open until 1 November 2026.
Ohme is on a mission to accelerate the global transition to clean, affordable energy. We do that by serving as an integrated hardware and software smart-grid platform, focused on the residential EV charging market. The worlds of energy, transport and artificial intelligence are colliding and Ohme is at the heart of this new era. By using technology and data integrations to connect cars, chargers, people, energy providers and more, Ohme has a powerful platform that puts the consumer at the core. Ohme has been selling its chargers to consumers since mid 2019 and has had exponential growth since. We are now operating in multiple countries and have partnerships with the likes of VW, Mercedes, Octopus Energy, and other innovative brands. We are scaling up the business and are building out the team for rapid growth. If you’re interested joining a fast-growing cleantech venture on a data and AI-first journey to speed up the global transition to clean, affordable energy, read on! We are looking for an Analytics Engineer to join our data team. Your remit is to build and run a scalable, secure analytics platform that the whole of Ohme can trust, reporting into our Lead Analytics Engineer. This is a role defined by outcomes rather than tickets. The warehouse you shape will decide how quickly Ohme answers its questions, how much it costs to do so, and how confidently teams act on what the data says. You will take end to end ownership of our analytics pipeline from data lake to semantic layer, with real latitude over how that platform is built. What You’ll Own: The Snowflake warehouse and the dbt project behind it: its data models, engineering standards and cost, shared with the Lead Analytics Engineer. Data quality and reliability: how we test, monitor and alert, and how we respond when data is wrong or late. Platform cost per charger: the metric that tells us whether the platform scales more cheaply than the business grows. The warehouse as a product for its consumers: analysts, business users and the AI tooling that increasingly depends on clean, documented data. The Impact You’ll Have: Making Ohme’s data cheaper to run than the business grows. Every data asset carries a visible cost and an owner, and you build the processes that find and remove waste. Success looks like Snowflake cost per charger falling while the fleet keeps expanding. Making the warehouse the version of the truth people reach for. Well-modelled, well-tested and well-documented dbt assets mean fewer arguments about whose number is right, and more time spent on the decision itself. Catching problems before anyone downstream does. Observability across spend, freshness and tests, so a stale dashboard or a broken model is something the data team tells the business about, not the other way round. Raising the standard of how we build. Your code reviews and the engineering standards you help set shape how every model is written, not just the ones you write yourself. Multiplying the…
Listing tracked by Sponsorly AI from Ohme's own job posting. Apply directly with the employer — Sponsorly does not process applications.