2027 Internship/Graduate - Data Engineer

Data Engineer Internship (QRT)

Programme duration: 3 to 6 months, starting in 2027.

Who qualifies: Penultimate or final year students completing a Bachelor’s, Master’s, or PhD.

About Qube Research & Technologies (QRT)

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology and data-driven group implementing a scientific approach to investing. By combining data, research, technology, and trading expertise, we build a collaborative mindset to solve complex challenges. QRT’s culture of innovation drives our ambition to deliver high-quality returns for our investors.

Over the years, QRT has invested in a global research and execution platform deployed across all geographies and asset classes. This platform covers systems from high- to low-frequency trading. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale.

We are committed to identifying and developing exceptional talent and inviting a new cohort of outstanding individuals to join us. The internship offers a stimulating, intellectually rigorous, high-performance environment where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for a full-time graduate role upon successful completion of the program.

Role: Data Engineer

Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform.

Your Present Skillset

• Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP).
• Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python.
• Interest to build expertise in high-performance, real-time trading systems.
• Excellent communication and analytical skills—you will interact directly with Traders and Researchers.
• Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting.
• Rigorous and structured approach to problem-solving.

Preferred Qualifications (A Plus)

• Knowledge of databases such as SQL or NoSQL.
• Experience in front-end development.
• Interest in financial markets and/or algorithmic trading.

Interview Process

• Application: Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances.
• Technical Assessment: Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills.
• Interviews: Shortlisted applicants will proceed to interviews conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values.

Equal Opportunity

QRT is an equal opportunity employer. We welcome diversity as essential to our success and empower employees to work openly and respectfully to achieve collective success. In addition to professional achievement, QRT offers initiatives and programs to help employees maintain a healthy work-life balance.