Data Engineer Intern: Real-Time Trading Data Platform

Qube Research & Technologies; Hong Kong; On-site; HKD 134,000 - 201,000; Part time

Job summary

Qube Research & Technologies is offering a 3-to-6 month Data Engineer internship starting in 2027 in Hong Kong. You will work with Researchers and Traders, building data stores, APIs, and production datasets, under senior mentorship.

We seek penultimate or final year students in Bachelor’s, Master’s, or PhD programs with strong CS fundamentals, Python focus, and appetite for low-latency data systems. Excellent communication and rigorous problem solving are essential for success in this

Qualifications

• Strong CS foundations: algorithms, data structures, parallel programming, OOP.
• Genuine interest in software engineering or data engineering in a low-latency environment using Python.
• Desire to build expertise in real-time trading data platforms.
• Excellent communication and analytical skills for collaboration with Traders and Researchers.
• Drive for rapid autonomy in a fast-paced, high-performance setting.
• Rigorous and structured approach to problem solving.

Responsibilities

• Manage extensive datasets across research and trading platforms.
• Design and implement data stores and APIs, monitor data health and performance.
• Deliver production-ready datasets to support researchers and traders.
• Provide direct support to Researchers and Traders to maximize platform use.

Skills

Python

Algorithms

Data structures

Parallel programming

OOP

Communication

Analytical skills

Autonomy

Problem solving

Education

Bachelor's/Master's/PhD student

Tools

SQL

NoSQL

Front-end basics

Job description

Qube Research & Technologies is offering a 3-to-6 month Data Engineer internship starting in 2027 in Hong Kong. You will work with Researchers and Traders, building data stores, APIs, and production datasets, under senior mentorship.

We seek penultimate or final year students in Bachelor’s, Master’s, or PhD programs with strong CS fundamentals, Python focus, and appetite for low-latency data systems. Excellent communication and rigorous problem solving are essential for success in this