Senior Data Engineer

The role

This person will build a global and scalable Data Lakehouse solution used by multiple trading desks. They will contribute to software and infrastructure design in an AWS cloud environment and develop data pipelines in Python.

What you will do

• Building global and scalable Data Lakehouse solution used by multiple trading desks
• Contributing into software and infrastructure design and implementation in AWS cloud environment
• Developing data pipelines in Python using data libraries and cloud SDKs
• Data modelling within scope of Data Lake and OLAP
• Optimizing performance of the data lake as well as OLAP databases in cross-region environment
• Ensuring data completeness and quality across critical pipelines
• Build and support tailored data solutions for Quants and Traders

Required qualifications

• 5+ year of experience and proven track record of building data platforms
• Python and SQL mastery
• Appetite to contribute into cloud infrastructure
• Ability to build a structured approach to problem-solving
• Independent and autonomous while still a strong team player
• Intellectual curiosity to learn rapidly

Nice to have

• C++ is a big plus
• Finance experience is highly desirable

Benefits

• initiatives and programs to enable employees achieve a healthy work-life balance

About the company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. It is a technology and data driven group implementing a scientific approach to investing.