Data Engineer

🕒 September 15

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 30%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Atom Learning

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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 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 models, tooling and patterns that enable safe self-service data usage • Use AI tools and agents to research, prototype, investigate and develop solutions • Contribute to product features, APIs, internal tools or automation when useful • Review code, share expertise and raise data engineering standards • Mentor engineers and develop data capability across the wider 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 • Understanding of trade-offs involved in building reliable, scalable data systems • Experience with cloud data warehouses, orchestration tools and transformation frameworks • End-to-end ownership from initial discovery through implementation, monitoring and continuous improvement • Ability to turn ambiguous requirements into practical solutions while balancing speed, quality and longer-term scalability • Clear communication with technical and non-technical colleagues • Ability to make complex data problems understandable • Confident use of AI tools and agents for learning, investigation and building • Comfortable working beyond a narrowly defined specialism • 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 • Remote-first company • 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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