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2027 - Internship, Data Engineering

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2027 - Internship, Data Engineering in Others

  • Qube Research & Technologies
  • Full time
  • Email
  • Paris, France

Responsibilities

  • Source, evaluate, and manage new datasets for quantitative research and trading.
  • Design and implement data stores and APIs for large datasets.
  • Build and maintain infrastructure for ingesting, processing, and serving data.
  • Develop real-time and batch workflows with attention to reliability, latency, and scalability.
  • Monitor data processes and produce datasets for researchers and traders.
  • Collaborate with traders, researchers, and engineers on data and platform problems.

Requirements

  • Be a penultimate- or final-year student completing a Bachelor's or Master's degree.
  • Have a grounding in algorithms, data structures, parallel programming, and object-oriented programming.
  • Have experience with Python and an interest in solving data or infrastructure problems with software.
  • Demonstrate interest in software engineering, infrastructure, or data engineering, particularly where performance and reliability matter.
  • Use a rigorous, structured approach to problem solving and communicate clearly in collaborative environments.
  • Knowledge of SQL or NoSQL databases is preferred.
  • Front-end development experience and an interest in financial markets or algorithmic trading are preferred.

Benefits

  • 5–6 month internship programme starting in 2027.
  • Opportunity to contribute to real projects and work with engineers, researchers, and traders.
  • Interviews may be conducted on-site or via Microsoft Teams.
  • QRT offers initiatives and programmes intended to support work-life balance.

Qube Research & Technologies

Qube Research & Technologies is a global quantitative investment manager that leverages a scientific approach to investing across all liquid asset classes. By integrating advanced data analysis, cutting-edge technology, and trading expertise, we meet complex challenges in the financial markets an...

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