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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—while tackling one of the most critical challenges of our century: access to low-cost electricity.
tem exists to fix a broken global energy market that has long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system wasn’t designed for rapid decarbonisation, AI-driven efficiency, or fair access for businesses and generators.
We’ve built the first AI-native transaction infrastructure to revolutionise how electricity is bought, sold, and priced. Our technology:
- Cuts out inefficient middlemen
- Automates complex market flows
- Drives transparency and fairness at scale
In late 2025, we secured a $75 million Series B round, led by Lightspeed Venture Partners, with participation from partners like Albion, Atomico, Allianz, Hitachi Ventures, and Schroders Capital. This funding fuels our global expansion, deeper product innovation, and category leadership.
Prepare for a future where AI-driven infrastructure is foundational to electricity markets worldwide. Our flagship product, RED, has already facilitated transactions worth billions, demonstrating that modern software and AI can transform legacy energy systems. At tem, we’re not just building an energy company—we’re rearchitecting market infrastructure to make transparency, efficiency, and sustainability the default.
🏅 The Role: Senior Analytics Engineer
We’re seeking a Senior Analytics Engineer to help build and shape the analytics foundation of our high-growth startup. This is a hands-on, individual-contributor role (no management responsibilities), with critical technical ownership across the business.
Core Focus Areas
- Lead end-to-end analytics: Data models, trusted metrics, and self-service patterns that empower the company.
- Full ownership over core dbt models and Omni (semantic layer) to ensure reliable, insightful insights.
- Deep collaboration with Marketing, Finance, Operations, and Data Engineering teams.
- First 90 days: Fast ramp-up, production-ready models, troubleshooting legacy analytics, and stakeholder relationships.
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🚀 Responsibilities
Core Duties
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Analytics Layer Development
- Design, build, and maintain production-grade dbt models (e.g., customers, revenue, marketing performance) as our source of truth.
- Continuously refactor and sustain core data representations.
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Metric Evangelism
- Partner with stakeholders to define, standardise, and implement Omni metrics (e.g., mRTV, marketing attribution, unit economics).
- Translate business questions into actionable, clear definitions.
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Cross-Functional Impact
- Own end-to-end analytics projects across marketing, finance, and operations—coordinate with teams to deliver high-value insights.
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Pragmatic Tradeoffs
- Balance speed, accuracy, and long-term tech debt for scalable patterns.
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Data Quality & Trust
- Enforce rbtr tests, CI/CD pipelines, and robust documentation to minimise regressions.
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Upstream Collaboration
- Work closely with Data Engineers to diagnose pipeline issues and improve warehouse performance.
✨ Requirements
Must-Have Skills
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5+ years of hands-on experience as an Analytics Engineer in fast-moving environments, with ownership evidenced in:
- Incremental models, custom macros, and debugging slow/expensive dbt queries.
- Maintainable project structure and modular patterns.
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Deep dbt expertise:
- Command of SQL, robust data modelling, and dbt’s transformations.
- Experience with semantic layers (Omni/Looker/Metabase) for BI self-service.
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Stakeholder collaboration:
- Translate complex business requirements into executable definitions.
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- Comfort with ambiguity: Startups thrive on creative problem-solving without pre-set processes.
Nice-to-Haves
- Marketing or Finance data domain experience.
- Exposure to caption building or analytics from scratch.
- Familiarity with A/B testing, funnel analysis, or LTV models.
🎯 Experience & Background
- Successfully cargo byeth simple business questions into precise and reusable metrics.
- Proven ability to ship pipelines at scale while maintaining user trust.
- Preferable: Founded or contributed to an early-stage analytics toolchain.
🏙 Benefits & Perks
- Competitive base salary (£85K–£95K or equivalent)—pais reviewed biannually using data-driven benchmarks.
- Market-leading equity: Stock options for all team members, aligning with growth.
- Generous time off: 25 days/year + public holidays (swap for personal days), birthday +1.
- Remote + flexibility: Fully distributed across Europe, coreical hours with no late Friday meetings.
- Office environment fund: Annual £1,200 to setup at home or co-working spots.
- Wellbeing stipend: Up to £150/month for tax-advantaged therapies, gyms, or wellness tools.
🗣 Interview Process
- Timeline: Consolidated in 2–3 weeks. Requests for adjustments welcomed.
- Flow:
- Intro call (30 mins) with Talent—context + motivational fit.
- Behavioural (75 mins) with the Data Manager—ensure fit.
- Technical challenge (60 mins) with potential future peers.
- Culture-Add (45 mins): Two stakeholders interview via ** Values alignment** + conversational feedback.
Apply With Us
We strongly believe in diversity of thought: relevant backgrounds, underrepresented perspectives, and hands-on creativity are highly valued. If you’re vraghly curious about this role, apply anyway—it may be exactly what we’re missing!
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Jessica, London
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