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Graduate Data Engineer — Foundry Pipelines & ML (Hybrid)

Scienceabode

Marlow

Hybrid

EUR 45.000 - 55.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading pharmaceutical company in Marlow is seeking a Graduate Data Engineer to build and maintain scalable data pipelines in Palantir Foundry. This role involves collaborating with Product, Engineering, and GTM teams to transform raw data into reliable datasets for advanced reporting and analytics. The ideal candidate will have a degree in a relevant field and up to 2 years of experience, along with solid skills in Python/PySpark and familiarity with analytics tools. This position offers a hybrid working environment with expectations of in-office attendance.

Qualifikationen

  • Degree in Computer Science, Engineering, Mathematics, or similar.
  • Up to 2 years of experience in building data pipelines.
  • Ability to write clear and reliable Python/PySpark code.

Aufgaben

  • Build and maintain data pipelines in Palantir Foundry.
  • Prepare and optimize data pipelines for machine learning.
  • Develop dashboards and reports in Foundry.

Kenntnisse

Python/PySpark coding
Familiarity with analytics tools (pandas, numpy, matplotlib)
Understanding of big data frameworks (Spark)
Cloud service knowledge (Palantir, AWS, Azure, Google Cloud)
Data model expertise

Ausbildung

Degree in Computer Science, Engineering, Mathematics or similar
Master's degree in relevant fields (AI/ML, Data Systems)
Jobbeschreibung
A leading pharmaceutical company in Marlow is seeking a Graduate Data Engineer to build and maintain scalable data pipelines in Palantir Foundry. This role involves collaborating with Product, Engineering, and GTM teams to transform raw data into reliable datasets for advanced reporting and analytics. The ideal candidate will have a degree in a relevant field and up to 2 years of experience, along with solid skills in Python/PySpark and familiarity with analytics tools. This position offers a hybrid working environment with expectations of in-office attendance.
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