data engineer for educational products

Atom Learning is an EdTech company that combines teacher-made content with technology, data science and machine learning to provide personalised education. Its products support children, families, schools and teachers through learning, assessment and exam preparation platforms.

• Build and evolve data foundations behind customer-facing products, including predictive features, adaptive learning and assessment insights;
• Own the design, development and ongoing improvement of reliable, scalable data pipelines and models;
• Shape the technical direction of the data platform and improve data movement between the application, warehouse and product surfaces;
• Build clean, well-tested and reusable solutions using Python, SQL and dbt;
• Improve data quality, observability and reliability;
• Work with product, engineering, commercial teams and educational experts to understand problems, shape solutions and measure impact;
• Create clear models, tooling and patterns that help engineers and teams self-serve data safely and confidently;
• Use AI tools and agents to research, prototype, investigate and develop better solutions;
• Contribute to product features, APIs, internal tools or automation where this helps solve problems effectively;
• Review code, share expertise and raise data engineering standards;
• Mentor other engineers and develop data capability across the wider engineering team.

• Significant experience designing, building, maintaining and scaling production data pipelines and platforms;
• Strong Python and SQL skills and the ability to produce clear, maintainable and well-tested code;
• Understanding of data modelling, database architecture and trade-offs in reliable, scalable data systems;
• Experience with cloud data warehouses, orchestration tools and transformation frameworks;
• End-to-end ownership of problems from discovery through implementation, monitoring and continuous improvement;
• Ability to turn ambiguous requirements into practical solutions while balancing speed, quality and long-term scalability;
• Clear communication with technical and non-technical colleagues;
• Ability to use AI tools and agents confidently for learning, investigation and development;
• Comfort working beyond a narrowly defined specialism when required;
• Nice to have: Experience with BigQuery, Airflow and dbt or equivalent modern data technologies, experience with CockroachDB, Postgres or other distributed/relational databases including CDC or event-driven pipelines, knowledge of data visualisation preferably Tableau or Metabase, experience enabling safe self-service through internal tooling, analytics platforms or LLM-powered interfaces, experience supporting product analytics or building data-powered product features.

• Work from anywhere in the UK or within GMT +/-2 hours time zone;
• 25 Days holiday plus bank holidays;
• 3 Days winter leave;
• Annual L&D budget;
• Private medical;
• EMI options available;
• Access to wellbeing platform;
• Competitive pay;
• Enhanced family leave;
• Monthly remote and in-person events in London;
• High degree of autonomy and exposure to all business areas of a successful startup;
• Opportunity to become an integral member of a fast-growing tech company.