In your first few months, you'll get under the hood of tem's dbt project and warehouse, and take ownership of extending analytics engineering's reach into a new part of the business. A year in, you'll have shipped process changes that measurably improve how the analytics engineering function ships, and delivered modelling or infrastructure work that a large part of the business now depends on. That reach is only going to grow: tem has big, bold bets on the table, like international expansion and new ways of bringing its technology to other businesses, and the domain layer you build needs to be ready for that.

This is a hands-on, individual contributor role with no direct reports, but real technical ownership: you set the patterns other analytics engineers follow, and you'll have genuine influence over how tem defines its own metrics.

🚀 Responsibilities

• Set and raise the bar on analytics engineering standards. Define the patterns, testing, and review practices that keep dbt models across the business consistent, documented, and trustworthy without you personally checking every one.
• Own the context layer. Bring the semantic layer (Omni) and the underlying domain models together into one place the business, human or AI, can query with confidence.
• Build the domain model from first principles. Take tem's data from raw source to a structured, trusted layer that powers commercial, financial, risk, and operational decisions, not just dashboards.
• Expand analytics engineering's reach across the business. Integrate new data sources, product and platform events, and the tools other departments run on, taking analytics engineering from a centralised function into new corners of the company.
• Help tem think bigger. As the business looks at big bets like international expansion and new ways of bringing its technology to other companies, help build a domain layer that's ready to go with it.
• Partner across the business, not just the data team. Work directly with engineers, product managers, and salespeople to understand what they're actually trying to achieve, then turn that into models that hold up under real use.

🎯 Requirements

Must haves

• You've built or reworked a domain layer before, hit the failure states, and learned what good looks like the hard way.
• Deep, production dbt experience: custom macros, reusable patterns, and real work optimising models that are genuinely expensive to run.
• Excellent SQL and comfort working on a modern data warehouse at real scale (tem runs ClickHouse).
• Hands-on experience with a semantic layer or BI modelling tool (Omni, Looker, or similar), with genuine influence over how metrics get defined, not just how they get built.
• A genuine eye for detail and real QA discipline: you check your own work and care about getting a definition right without needing someone else to catch it, while still keeping pace with a fast-moving business.

Nice to haves

• Experience with commercial data, like sales funnels or CRM pipelines, or with portfolio and financial trading data, including risk, hedging, forecasting, or time-series modelling.
• A track record of introducing quality standards or tooling that measurably raised a team's output, not just your own.
• Strong first-principles stakeholder management: you'd rather ask the awkward scoping question upfront than build the wrong thing twice.
• Experience in energy, or another sector with real physical or financial complexity underneath the data.

✨ Benefits & Perks:

• Salary: Competitive salary — we are looking to pay £115,000 or equivalent in local currency.
• We pay against a clear benchmark for your role and level. No fixed once- or twice-a-year cycle - pay moves when the evidence for it does.
• 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 / €1,200 annually to upgrade 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 first call to offer - please let us know about any adjustments to timelines that may be required.

1. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail.
2. Behaviour Interview with our Analytics Engineering Manager (75 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working.
3. Technical Interview with the Team (60 mins). You'll meet with potential peers in this session and work through a live technical exercise.
4. Bar Raise Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem.

We welcome applications from people of all 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 sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Compensation Range: £115K