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Cambridge University Press

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Data Engineer: AI-Driven Data Platforms (Hybrid)

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Summary

Data Engineer in Cambridge University Press & Assessment's Applied AI team, designing and maintaining scalable data platforms and pipelines that power AI-driven assessment solutions, in a hybrid Cambridge role. Core tech: Python, SQL, ETL frameworks, Git, cloud and databases.

Cambridge University Press & Assessment is seeking a Data Engineer to join the Applied AI team in Cambridge. You will design, build and maintain scalable data platforms and pipelines powering AI-driven assessment solutions, working with cross-functional teams to ensure secure, high-quality data and scalable analytics.

You should have a degree in computing or CS, strong Python/SQL skills, and experience with ETL frameworks, Git, and cloud/databases.

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