Data Engineer

Atom Learning

. Build and evolve data foundations behind customer-facing products, including predictive features, adaptive learning and assessment insights .

Posted 9/15/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building scalable data pipelines and platforms using Python and SQL, while ensuring data quality and reliability. Proficient in leveraging AI tools for data solutions and fostering collaboration across technical and non-technical teams.

Highest-signal resume keywords

Data Pipeline DesignPython ProgrammingSQL ProficiencyCloud Data WarehousingData Modelling

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Hard Skills

Data Pipeline DevelopmentData ModellingDatabase ArchitectureCode ReviewData Quality ImprovementPredictive Features DevelopmentData ObservabilityData TransformationEvent-Driven Data PipelinesData Visualisation

Soft Skills

Clear CommunicationProblem-SolvingMentoring

Tools & Technologies

BigQueryAirflowDbtCockroachDBPostgresTableauMetabase

Industry Keywords

Data EngineeringSelf-Service AnalyticsProduct AnalyticsAI ToolsContinuous Improvement

Tech Stack

Tools & technologies

AirflowBigQueryCloudPostgresPythonSQLTableau

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
Comfort 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

Comp & perks

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