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.

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.

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…