Qube Research & Technologies
2027 - Internship, Data Engineering
Eligibility
- Penultimate or final year students completing a Bachelor's or Master's degree.
Data Engineering internship for penultimate or final-year students focusing on designing and implementing data systems and infrastructure supporting quantitative research and trading.
Responsibilities
- Source and evaluate new datasets based on priorities from trading desks.
- Manage sourcing projects from acquisition through to design and production.
- Design and implement data stores and APIs.
- Monitor data processes and build production-ready datasets for researchers and traders.
- Build and maintain infrastructure for ingesting, processing, and serving data.
- Work on real-time and batch workflows focusing on reliability, latency, and handling complex data volumes.
Requirements
- Good grounding in algorithms, data structures, parallel programming and object-oriented programming.
- Experience with Python programming.
- Interest in software engineering, infrastructure or data engineering.
- Curiosity about high-performance, real-time systems.
- Rigorous, structured problem-solving approach.
- Clear communication and collaboration skills.
- Self-motivated and keen to develop autonomy.
Skills
- Python
- algorithms
- data structures
- parallel programming
- object-oriented programming
- SQL
- NoSQL databases
- front-end development
- Employer posted
- Last checked