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, access to low cost electricity. tem 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 rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, 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 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 across the business. 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 questions. 🚀 RESPONSIBILITIES - Build and maintain the analytics layer: Design, build, and maintain core dbt models that represent the business (e.g. customers, revenue, marketing performance, operations) and keep them production-ready — contributing to the source of truth the business operates on. - Implement and document company metrics: Partner with stakeholders to understand metric needs, translate them into clear definitions, and implement them in Omni so teams can self-serve with confidence. - Deliver cross-functional analytics projects: Work across multiple domains and teams to ship high-impact analytics work — coordinating with stakeholders, managing your own sequencing, and seeing projects through to done. - Make pragmatic modelling trade-offs: Balance speed, accuracy, and long-term maintainability; contribute to patterns that scale as the company grows. - Raise data quality and trust: Apply dbt tests, CI/CD, and documentation standards to catch issues early and reduce regressions. - Partner upstream to fix root causes: Work closely with Data Engineering to diagnose data issues, improve source/warehouse design, and keep the warehouse performant and reliable. 🎯 REQUIREMENTS Must-haves - Strong hands-on experience as an Analytics Engineer in a fast-moving environment....