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Amsterdam Quant Society

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Campus Data Engineer (Intern)

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Summary

A 10-week data engineering internship in London with a Chicago-based global quantitative trading firm (Jump). The intern builds and maintains production data infrastructure, pipelines, and databases using Python/Linux, working through the full dev-test-release cycle with a dedicated mentor.

10-week data engineering internship building production data infrastructure and pipelines with Python/Linux, database systems, data integrity, and dedicated mentorship.

Programme: 10 weeks. Longer and off-cycle placements may also be considered. Interns work with a dedicated mentor and contribute production code.

What you will do

  • Build and maintain data infrastructure and pipelines used across Jump.
  • Work on data integrity, data pipelines, and database management.
  • Contribute through the full development, testing, and release cycle.

What Jump looks for

  • Knowledge of data structures and threading models.
  • Interest in data pipelines and database management.
  • Ability to build efficient solutions to complex problems.
  • Comfort with Claude Code.
  • Reliable and predictable availability.

Useful experience: previous data engineering, algorithms and data structures, and Pandas.

No finance or economics background is required. International students are encouraged to apply.

Details

Role information

Location London

Job type Internship

Category Software Engineering

Company

Chicago, United States

Global quantitative trading firm combining research, advanced engineering, AI/ML, and high-performance infrastructure across markets and time horizons.

Skills

What Intern Data Engineering jobs ask for — and how much of it you have →
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See also

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