Data Engineer Intern: Build Clean Data Pipelines (London)

P2P; Greater London; On-site; GBP 20,088 - 26,784; Full time

Job summary

Jump Trading Group invites applications for a Data Engineering Internship in London. This 10-week program provides hands-on experience developing and maintaining data pipelines and infrastructure to support firm-wide data needs.

You will work side-by-side with experienced data engineers, gain exposure to production code, and receive ongoing coaching from a dedicated mentor. Ideal for students seeking practical experience and potential full-time opportunities.

Qualifications

• ;Python development on Linux platform.
• ;Strong understanding of data structures and threading models.
• ;Ability to work with a team in a fast-paced environment, deploying new software daily.
• ;Passion for solving complex problems and learning to build optimal solutions from scratch, instead of simply assembling things from existing libraries.
• ;Interest in using knowledge from several areas -- such as data pipelining and database management -- to ensure firm wide data integrity.
• ;Comfortability with Claude Code.
• ;Reliable and predictable availability.
• ;INTERNATIONAL STUDENTS are encouraged to apply.

Responsibilities

• This internship is a 10-week intensive program with a team responsible for developing and maintaining infrastructure and pipelines to support data for firm-wide use.
• You will work on production code and gain experience with the full-cycle development, testing, and release process using Agile methodologies.
• You will apply programming and analysis skills to maintain and develop firm-wide data solutions.
• Other duties as assigned or needed.

Skills

Python

Linux

Data structures

Threading

Team collaboration

Agile

Problem solving

Claude Code

Data pipelining

Database management

Tools

Pandas

Job description

Jump Trading Group invites applications for a Data Engineering Internship in London. This 10-week program provides hands-on experience developing and maintaining data pipelines and infrastructure to support firm-wide data needs.

You will work side-by-side with experienced data engineers, gain exposure to production code, and receive ongoing coaching from a dedicated mentor. Ideal for students seeking practical experience and potential full-time opportunities.