This role has closed 1mo ago. It is no longer on Qube Research & Technologies's board, so there is nothing left to apply to. The posting is kept here because you saved it or opened it; it is a record, not an offer.

Verified by our engine · Posted +6mo ago

Qube Research & Technologies

Data Integration Specialist - Python, AWS

Qube Research & Technologies · MF-QD-Integration

London

AWSPythonAirflowCloudWatchGrafanaKubernetesREST

Last seen 1mo ago

Posted
+6mo ago

Posted on 13 August 2025

Workplace
Not specified

Work model not stated

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
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Visa sponsorship details unknown

This role has closed. It's kept as a record — see Qube Research & Technologies's open roles or the similar live roles below.

See Qube Research & Technologies's open roles

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.

About Qube Research & Technologies

Qube Research & Technologies is a quantitative trading firm hiring in London, Paris and Wrocław. Quant firms are the highest-paying engineering employers in Europe and are almost invisible on mainstream job boards, which is precisely why they are here.