
51 - 200 employees
Founded 2018
📚 Education
☁️ SaaS
💰 $25.1M Series A - Atom Learning on 2021-12
Education • SaaS
Atom Learning is an education technology company that combines world-class learning content with adaptive digital technology to provide personalised learning journeys for children aged 7–11. It helps families prepare children for entrance exams and supports learning at home, while also partnering with schools; the platform focuses on building academic confidence through interactive, data-driven practice and assessment. Atom serves both families and schools with an online product and emphasizes measurable progress through adaptive learning.
🕒 September 9
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
👻 Ghost score 34%
Where this job comes from
Posted on Atom Learning's careers page, not through a job board
First seen by Remote Rocketship September 9

51 - 200 employees
Founded 2018
📚 Education
☁️ SaaS
💰 $25.1M Series A - Atom Learning on 2021-12
Education • SaaS
Atom Learning is an education technology company that combines world-class learning content with adaptive digital technology to provide personalised learning journeys for children aged 7–11. It helps families prepare children for entrance exams and supports learning at home, while also partnering with schools; the platform focuses on building academic confidence through interactive, data-driven practice and assessment. Atom serves both families and schools with an online product and emphasizes measurable progress through adaptive learning.
• Design and build the data models behind customer-facing features • Build and own reliable pipelines between the application, warehouse and product • Shape the technical direction of the data platform and data modelling standards • Improve testing, data quality and observability so others can trust the data • Review other engineers’ code and designs critically, and push back when something won’t hold up • Mentor engineers and raise data capability across the wider team • Make data easier for engineers and teams to use safely • Use AI tools throughout the work, with the judgement to know when they’re wrong
• Significant experience designing, building and scaling production data pipelines and models in Python and SQL, including owning design decisions others build on • Hands-on experience with a cloud data warehouse (ideally BigQuery) and dbt • Strong data modelling instincts: you think about grain, history and idempotency by default • A habit of looking for data quality issues rather than assuming the data is clean • Experience leading technical decisions and reviewing others’ work: you’re comfortable challenging a design, not just spotting bugs • Experience owning work end to end with a high degree of autonomy • Fluent written and spoken English, and the ability to explain data problems to non-technical colleagues • Confidence with AI tools, and the ability to explain and defend everything you ship • Nice to have: Airflow, CDC or event-driven pipelines (CockroachDB or Postgres), Tableau or Metabase, experience building data-powered product features
• 25 days’ holiday plus bank holidays and 3 days’ winter leave • Annual L&D budget • Private Medical Insurance • EMI Options • Enhanced Family Leave • Monthly remote and in-person events in London
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