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Senior 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 Step into a senior specialist role at a growing EdTech company where data powers customer-facing products that predict exam outcomes and personalise study for hundreds of thousands of students. As Senior Data Engineer, you will be a go-to authority for data engineering, shaping how the platform ingests, transforms and exposes data at scale. The position combines deep technical ownership with cross-team enablement, influencing both product features and the wider data culture.

Responsibilities - Lead the design and evolution of the data platform that supports personalised learning products - Drive development of data-powered features such as predicted grades, adaptive learning and exam outcome probabilities - Set technical standards and patterns that make trusted data easier for other engineers and teams to use - Mentor colleagues and help engineers navigate the data ecosystem, raising overall platform quality - Collaborate with engineers, product managers, education experts and business teams to turn complex problems into reusable solutions

Requirements - Significant experience owning production data infrastructure end to end - Ability to communicate clearly with technical and non-technical colleagues, making complex data problems accessible - Comfort working across specialisms and stepping outside a narrow remit when needed - Confident, hands-on use of AI tools and agents as part of learning, investigating 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 or 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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