Staff Analytics Engineer

Who We Are: We have built the new way for energy to be transacted. tem exists to fix a creaking energy market. Today's wholesale system is stacked in favor of the few - a relic of the oil and gas era, riddled with markups and middlemen. We're changing that. Our product, RED™, is built on a proprietary pricing engine that bypasses the wholesale market, enabling businesses to buy energy produced by renewable generators directly. That means clear, auditable transactions that ensure affordable bills and fair compensation - giving every business real ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £25 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs including Atomico and Albion, we're creating a new category in energy - one that's decentralized, direct, and built on trust.

The Role: We’re looking for a Staff Analytics Engineer to help build and shape the analytics foundation of a growing startup. You’ll join a small data team and work on the analytics layer end-to-end: core data models, trusted metrics, and the patterns that enable the rest of the company to use data with confidence. This is a hands-on, individual contributor role (no people management), with significant technical ownership and influence. You’ll work primarily with dbt for transformations and Omni as our semantic and analytics layer, partnering closely with Marketing, Finance, Operations, and Data Engineering. In your first few months, you’ll get fully up to speed on our warehouse and dbt project and start shipping production-ready models, take ownership of at least one core business area (e.g., Marketing or Revenue metrics) to improve structure, documentation, and consistency, and build strong relationships with stakeholders - becoming a trusted point of contact for analytics design decisions.

Requirements: Must-haves include strong experience as an Analytics Engineer in a fast-moving environment, ability to set direction for analytics engineering (patterns, standards, strategy) and execute hands-on. Deep, hands-on dbt production experience, including incremental models at scale, custom macros, debugging and optimizing slow/expensive models, dbt project architecture, and maintainability. Excellent SQL and strong data modeling fundamentals. Experience with a semantic layer / BI modeling tool (Omni, Looker, or similar). Proven experience defining metrics with business stakeholders. Comfort operating with ambiguity and limited process.

Benefits: Competitive salary - our current band for this role is £100,500 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday. Remote & flexible working - We’re fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps.