Senior Data Engineer
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Job Description
Senior Data Engineer building scalable data infrastructure for Atom Learning’s personalised education products. Developing pipelines, models and predictive learning features used by students, teachers and schools.
Responsibilities:
- Build and evolve data foundations behind customer-facing products, including predictive features, adaptive learning and assessment insights
- Design, develop and improve reliable, scalable data pipelines and models
- Shape the technical direction of the data platform
- 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 and education teams to understand problems, shape solutions and measure impact
- Create models, tooling and patterns that enable safe self-service data use
- Use AI tools and agents to research, prototype and investigate solutions
- Contribute to product features, APIs, internal tools or automation when appropriate
- Review code, share expertise and raise data engineering standards
- Mentor engineers and develop data capability across the engineering team
Requirements:
- Significant experience designing, building, maintaining and scaling production data pipelines and platforms
- Strong Python and SQL skills
- Clear, maintainable and well-tested code
- Understanding of data modelling and database architecture
- Experience with cloud data warehouses, orchestration tools and transformation frameworks
- End-to-end ownership from discovery through implementation, monitoring and continuous improvement
- Ability to turn ambiguous requirements into practical, scalable solutions
- Clear communication with technical and non-technical colleagues
- Confident use of AI tools and agents
- 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 data pipelines
- Knowledge of data visualisation, preferably Tableau or Metabase
- Experience making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces
- Experience supporting product analytics or building data-powered product features
Benefits:
- 25 days holiday plus bank holidays
- 3 days winter leave
- Work from anywhere in the UK or within GMT +/-2 hours time zone
- 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 the running of all business areas of a successful startup
- Brilliant colleagues and the opportunity to become an integral member of a fast-growing tech company
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