Atom Learning

Data Engineer

• Build and evolve data foundations behind customer-facing products, including predictive features, adaptive learning and assessment insights
• Design, develop and continuously improve reliable, scalable data pipelines and models
• Shape the technical direction of the data platform
• Improve how data moves 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 enable safe, confident self-service
• Use AI tools and agents to research, prototype, investigate and develop solutions
• Contribute to product features, APIs, internal tools or automation when effective
• Review code, share expertise and raise data engineering standards
• Mentor engineers and develop data capability across the engineering team