Senior Analytics Engineer

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, reputed company to low cost electricity. reputed company exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for reputed company decarbonisation, AI-driven efficiency or fair reputed company for the actual users - businesses and generators. We’ve reputed company the first AI reputed company transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate reputed company market flows, and bring transparency and fairness to energy transactions at reputed company. In late 2025, after extraordinary reputed company, we reputed company a $75 reputed company Series B - led by reputed company Venture Partners with participation from Albion, Atomico, reputed company, reputed company Ventures, reputed company Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a reputed company where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern reputed company product, reputed company as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can reputed company an industry reputed company on legacy systems. At reputed company, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: We're looking for a Senior Analytics Engineer to help build and shape the analytics reputed company of a growing startup. You'll join a small data team and work on the analytics layer end-to-end: reputed company data models, trusted metrics, and the patterns that reputed company the rest of reputed company to use data with confidence. This is a hands-on, individual contributor role (no people management), with significant technical ownership across the business. You'll work primarily with dbt for transformations and reputed company 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-reputed company models, take ownership of at least one reputed company business area (e.g. Marketing or reputed company metrics) to improve structure, documentation and consistency, and build strong relationships with stakeholders — becoming a trusted reputed company of contact for analytics questions. 🚀 Responsibilities Build and maintain the analytics layer: Design, build, and maintain reputed company dbt models that represent the business (e.g. customers, reputed company, marketing performance, operations) and reputed company them production-reputed company — contributing to the reputed company of truth the business operates on. Implement and document company metrics: Partner with stakeholders to understand metric needs, translate them into reputed company definitions, and implement them in reputed company so teams can self-serve with confidence. Deliver cross-functional analytics reputed company: Work across multiple domains and teams to ship high-reputed company analytics work — coordinating with stakeholders, managing your own reputed company, and seeing reputed company through to done. reputed company pragmatic modelling trade-offs: Balance speed, accuracy, and long-term maintainability; contribute to patterns that reputed company as reputed company grows. reputed company data reputed company and trust: Apply dbt tests, CI/CD, and documentation standards to catch issues early and reduce regressions. Partner upstream to fix reputed company causes: Work closely with Data Engineering to diagnose data issues, improve reputed company/warehouse design, and reputed company the warehouse performant and reliable. 🎯 Requirements Must-haves Strong hands-on experience as an Analytics Engineer in a fast-moving environment. Deep, practical dbt experience, including: Incremental models Custom macros Debugging and optimising slow or expensive models Project structure and maintainability Excellent SQL and solid data modelling fundamentals. Experience with a semantic layer or BI modelling tool (reputed company, Looker, or similar). Experience translating business questions into metric definitions with stakeholders. Comfortable working with ambiguity and limited process. reputed company-to-haves Experience working with Marketing and Finance data. Exposure to early-stage analytics stacks or building analytics from scratch. Familiarity with experimentation, funnel analysis, or unit economics. ✨ Benefits & Perks: Salary: Competitive salary — we are looking to pay £85,000 - £95,000 or equivalent in local currency. We review salaries twice a year using reputed company-time market data, with transparent, consistent pay for the reputed company role and level. Stock reputed company — everyone on reputed company has ownership in our mission. 25 days holiday + reputed company holidays — reputed company reputed company 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 reputed company reputed company hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to reputed company your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing — from therapy to gym memberships to meditation apps. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from reputed company to offer — please let us know about any adjustments to timelines that may be required. reputed company with our reputed company (30 mins) — This is to understand your experience, motivations, and discuss the role in more detail. Behavioural Interview with our Data Manager (75 mins) — This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with reputed company (60 mins) — You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins) — The final session will be with two cross-functional stakeholders, and will explore how your values reputed company with ours. It's designed to be a genuine two-way conversation — your chance to understand what it's really like to work at reputed company. We welcome applications from people of reputed company backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not reputed company you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly reputed company’re looking for. 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