Data Integration Specialist - Python, AWS

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

• Your core objective will be to collaborate with Researchers and Analyst to onboard data sources and signals through a centralized framework.
• You will contribute to the design and maintenance of datasets used for signal generation in trading strategies.
• You will also help develop robust data quality checks to enhance monitoring and ensure the longevity of data sources.
• Additionally, you will be responsible for integrating alternative datasets and building tools to automate data pipelines for faster and more reliable delivery.
• Finally, you will provide support to end users, including Quant Researchers and Traders.

• 2+ years’ hands-on experience in data engineering
• Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders
• Strong software engineering fundamentals and proficiency in Python
• Experience with workflow orchestration frameworks (e.g. Argo, Airflow)
• Experience designing and implementing RESTful APIs and internal service integrations
• Experience with observability tools (e.g. Grafana, CloudWatch)
• Familiarity with Kubernetes, container orchestration, and cloud infrastructure (AWS preferred)
• Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus
• Self-starter mentality with the ability to work autonomously within a globally distributed team

QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.