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Data Engineer

Data Engineer Full-time Remote-first; team across 10 countries (specifics not listed)

Job details

Not specified Salary
Remote-first; team across 10 countries (specifics not listed) Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Join a remote-first EdTech company building personalised learning experiences powered by data and machine learning. The Data Engineer will own and evolve the data platform that underpins student-facing products like predicted exam grades, adaptive learning pathways and outcome probabilities. With millions of learning interactions flowing through daily, this role directly shapes how data is collected, transformed, modelled and made available across the organisation.

Responsibilities - Take ownership of the data platform's collection, movement, transformation and modelling pipelines - Contribute to data-powered product features such as predicted grades, adaptive learning and exam outcome probabilities - Help engineers and teams across the business use data effectively through tooling, patterns and documentation - Partner with engineers, product managers, education experts and other stakeholders to translate complex problems into reusable data solutions - Promote trusted, self-service data usage throughout the organisation

Requirements - Solid data engineering experience building production-grade data infrastructure - Ability to communicate clearly with both technical and non-technical colleagues and make complex data problems understandable - Comfort working beyond a narrowly defined specialism when the problem demands it - Confident use of AI tools and agents as part of learning, investigation and building

Nice to have - Hands-on experience with BigQuery, Airflow and dbt, or comparable modern data tooling - Experience with CockroachDB, Postgres or other distributed/relational databases, including CDC or event-driven pipelines - Familiarity with data visualisation, preferably Tableau or Metabase - Track record of making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces - Background supporting product analytics or building data-powered product features

Benefits and work setup - Remote-first working from anywhere in the UK or within GMT plus or minus two hours - 25 days holiday plus bank holidays, plus three days winter leave - Private medical cover, wellbeing platform access and enhanced family leave - Annual learning and development budget - EMI options and competitive pay - Monthly remote and in-person events in London

Skills detected in the listing

PythonGoSQLPostgreSQLTableaudbtApache AirflowData EngineeringMachine LearningLLM
Detected Oct 3, 2026
Last verified Oct 6, 2026

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