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.
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Campus Data Engineer (Intern) in London employer: Amsterdam Quant Society
Susquehanna is an exceptional employer for aspiring quantitative traders, offering a dynamic internship experience in the heart of London. With a strong emphasis on mentorship and hands-on project work, interns gain invaluable skills in ETF and options trading, programming, and game theory, all within a collaborative and innovative work culture that fosters personal and professional growth. The opportunity to return for a graduate programme further highlights our commitment to nurturing talent and providing a pathway for future success.
