Data Engineer

We're Atom Learning and our mission is to help every child reach their potential.

We combine exceptional teacher-made content with technology, data science and machine learning to make high-quality, personalised education more accessible. Our aim is to give every child access to the kind of insight, support and individualised learning that was once largely limited to expensive private education and tutoring.

We're one of Europe's fastest-growing EdTech companies. Since 2018 we've grown from a startup of four friends to over 100 people, with specialists across education, engineering, product, learning design and marketing.

• Nearly half a million children have learned on Atom, answering more than 750 million questions. Last academic year alone, 180,000 students answered over 210 million questions.
• For families: over 170,000 children have used Atom Home to build core skills and prepare for exams, answering more than 440 million questions along the way. Our GCSE product, Home Senior, launched in February 2026 and more than 30,000 students are already learning on it.
• For schools: around 1,900 schools and more than 24,000 teachers use Atom in the UK and internationally. Quest Progress, our standardised assessment platform, has delivered more than 1.1 million assessments since launching in September 2024.

We're remote-first! While our main office is in London, our team of over 100 people (and counting) works across 10 countries.

We’re looking for a Data Engineer to help shape the data platform behind some of our most important products.

Data at Atom isn't simply a reporting or support function. It powers customer-facing products that predict real-world exam outcomes, personalise what children learn next and help teachers understand where to focus their time and attention.

On our busiest days, more than a million new question responses flow through the platform. You'll be one of our go-to specialists for data engineering, taking ownership of how that data is collected, moved, transformed, modelled and made available across Atom.

Your impact will come in two ways. You'll contribute directly to data-powered product features, such as predicted grades, adaptive learning and exam outcome probabilities, while also helping other engineers and teams use data effectively. That might mean solving the data problem behind a new customer feature, helping an engineer navigate an unfamiliar part of the data platform, or creating tooling and patterns that make trusted data easier for everyone to use.

You'll work closely with engineers, product managers, education experts and colleagues across the business to turn complex problems into effective, reusable solutions.

This is a role for someone who wants to build excellent data infrastructure, but also cares deeply about what that infrastructure enables: better products, better decisions and ultimately better outcomes for learners.

Our culture is built on freedom, trust and high agency. We expect our engineers to be product-minded, curious and comfortable taking ownership beyond the boundaries of their specialism.

AI-assisted engineering is a core part of how we work. We use AI to learn faster, research unfamiliar problems, prototype ideas, explore alternatives and get to better solutions sooner. We believe its biggest value is in making strong engineers more capable, not simply helping them produce more code.

AI increases the amount we can execute, but it makes engineering judgement more important, not less. We value people who can work through ambiguity, decide what should be built, understand the trade-offs and take responsibility for the impact of their work rather than simply completing a well-defined task.

Your deepest expertise will be in data engineering, but you’ll understand the wider product, collaborate closely across disciplines and contribute wherever your expertise can have the greatest impact.

Our application data lives primarily in Cockroach DB, with a modern data platform built around Big Query, dbt, Airflow and pub/sub. Data flows both ways: into analytics and modelling, and back into the products our customers use.

That culture translates into a flat hierarchy with a high degree of autonomy, where engineers collaborate closely, share expertise freely and are trusted to use their judgement, shape solutions and take meaningful ownership of outcomes.

• Build and evolve the data foundations behind customer-facing products,…