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Data Integration Specialist - Python, AWS

quberesearchandtechnologies
London, GBR
Onsite
Discovered 3 weeks ago
Data engineeringPythonWorkflow orchestrationArgoAirflowRESTful APIs
Free

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Data engineeringPythonWorkflow orchestration
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About QRT

Qube Research & Technologies is a global quantitative and systematic investment manager operating across liquid asset classes worldwide.

QRT combines data, research, technology, and trading expertise through a collaborative, technology-driven investment approach.

Role overview

The Data Integration Specialist will collaborate with researchers and analysts to onboard data sources and signals through a centralized framework.

The role supports data, research, technology, and trading teams in delivering reliable datasets and tooling.

Responsibilities

  • Design and maintain datasets used for signal generation in trading strategies.
  • Develop data quality checks to improve monitoring and extend the longevity of data sources.
  • Integrate alternative datasets and build tools that automate data pipelines.
  • Provide support to quantitative researchers and traders.

Requirements

  • At least 2 years of hands-on experience in data engineering.
  • Strong software engineering fundamentals and proficiency in Python.
  • Experience with workflow orchestration frameworks such as Argo or Airflow.
  • Experience designing and implementing RESTful APIs and internal service integrations.
  • Experience with observability tools such as Grafana or CloudWatch.
  • Familiarity with Kubernetes, container orchestration, and cloud infrastructure; AWS is preferred.
  • Excellent communication and a collaborative mindset when working with engineers, quants, and traders.
  • Ability to work autonomously as a self-starter within a globally distributed team.
  • Front-end experience for custom monitoring dashboards is a plus.

Culture and inclusion

QRT is an equal opportunity employer and describes diversity, openness, respect, innovation, and work-life balance as important parts of its culture.

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