Data Integration Specialist - Python, AWS

quberesearchandtechnologies· MF-QD-Integration
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📍 London

About this role

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 future role within QRT

  • 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.

 

Your present skillset

  • 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.

Frequently Asked Questions

Is the salary disclosed for the Data Integration Specialist - Python, AWS position at quberesearchandtechnologies?
The salary for this Data Integration Specialist - Python, AWS role at quberesearchandtechnologies is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Integration Specialist - Python, AWS position at quberesearchandtechnologies located?
This Data Integration Specialist - Python, AWS role at quberesearchandtechnologies is based in London. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Data Integration Specialist - Python, AWS at quberesearchandtechnologies belong to?
This Data Integration Specialist - Python, AWS position is part of the MF-QD-Integration department at quberesearchandtechnologies. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Data Integration Specialist - Python, AWS position at quberesearchandtechnologies?
Click the "Apply Now" button on this page. You will be redirected to quberesearchandtechnologies's official application portal hosted on greenhouse where you can submit your application directly.
When was the Data Integration Specialist - Python, AWS job at quberesearchandtechnologies posted?
This Data Integration Specialist - Python, AWS position at quberesearchandtechnologies was posted on Aug 13, 2025. Apply as soon as possible — early applications are often reviewed first.
Data Integration Specialist - Python, AWS
quberesearchandtechnologies
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