Staff Data 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 Staff Data Engineer to lead the design and evolution of our data platform. This is a high-impact, hands‑on role combining technical leadership, system architecture, and product thinking.

You’ll work closely with engineering, data science, and energy domain experts to ensure that data is reliable, scalable, and directly drives business value.

You'll work across the data management service team alongside data and analytics engineers, and in close partnership with energy domain experts, data scientists, and the broader engineering organisation. This is a hands‑on senior technical leadership role — you'll be reviewing pull requests and setting architectural direction in the same week.

What makes this genuinely different: you're not inheriting someone else's vision of what a data platform should be. The cultural norms, the standards, the practices — these are yours to define. If you've wanted to build the right thing from the ground up, this is that opportunity.

What You'll Do:

Technical Leadership

• Shape the technical direction across batch and streaming pipelines, setting the architecture others build to

• Set standards for pipeline design and data quality

• Lead design reviews and mentor other data engineers

• Evaluate and introduce tooling where it raises the bar — and make the case for when it doesn't

Data Platform & Pipelines

• Build and maintain robust ETL/ELT pipelines

• Build systems optimised for high‑ingestion, low‑latency querying of time‑series data (TSDS)

• Optimise pipelines for performance, cost, and reliability

• Enable self‑serve analytics and decision‑making across the company

Reliability and observability

• Implement data quality frameworks with real teeth: SLAs, automated testing, lineage, and monitoring

• Establish practices specific to energy data: late arrivals, reprocessing, backfills, and the failure modes that matter in this domain

• Build the observability layer that makes the platform trustworthy without constant human oversight

Scale and performance

• Identify and fix the bottlenecks that constrain us today

• Optimise pipelines for performance, cost, and reliability as data volumes grow

• Architect for the next order of magnitude, not just the next quarter

Technical leadership and culture

• Set engineering standards for pipeline design, data quality, and system observability

• Lead design reviews and mentor data engineers, raising the bar for how the team works

• Act as a multiplier: the people around you should get better because of how you approach problems

What We’re Looking For:

Experience

• Proven experience operating at staff level (ownership of systems, not just pipelines)

• Experience building and scaling modern data platforms

• A track record of operating at staff or principal level: you’ve owned systems, shaped technical direction across teams, and influenced how engineering gets done — not just delivered pipelines.

• Deep experience building and scaling production data platforms, including high‑ingestion time‑series workloads, and strong hands‑on ability in Python and modern data stack components (orchestration, warehousing, observability).

• The ability to design for reliability and scale — you understand the tradeoffs in data system design and have made consequential architecture decisions you can speak to clearly.

• A product mindset: you care about whether the data is actually useful and used, not just whether the pipeline ran green.

• Experience with cloud data infrastructure (AWS or GCP) and a point of view on what good looks like.

• The communication skills to lead without authority — influencing technical direction across teams and making the case for the right thing even when it's harder.

Technical Skills

• Strong programming skills in Python, with experience building production‑grade data systems

• Experience with modern data stack components (e.g.):

  • Orchestration: Airflow / Dagster

  • Warehousing: Snowflake / BigQuery / Redshift / ClickHouse

  • Streaming (nice to have): Kafka / Flink

• Experience with cloud platforms (AWS / GCP)

• Experience with data observability and testing practices

Nice to Have

• Experience in energy or climate tech

• Familiarity with time‑series data at scale
• Experience supporting ML pipelines in production
• Background in high‑growth startups or scale‑ups

What Success Looks Like

• The data platform handles tem's current scale without firefighting, and is architected for the next phase of growth

• Other teams can access, trust, and use data without routing requests through the data engineering team

• There is a tight, reliable feedback loop between data ingestion and consumption: trading, forecasting, and analytics teams make faster decisions because the data is there when they need it
• The data engineering team has clearer standards, better practices, and higher output than when you arrived

Benefits & Perks:

• Competitive salary - our current band for this role is £105,000 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 / €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.

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.

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