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Data Operations Engineer - Python

Open 60d posting dated 2 weeks ago

Summary

Build and maintain automated data pipelines and monitoring dashboards for a quantitative trading firm using Python and observability tools.

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.

In this role, you will be involved managing data operations activities to onboard, maintain, and support new datasets within QRT. You will also be responsible for production monitoring and ensuring the smooth functioning of data pipelines and infrastructure systems.

Your future role within QRT

  • Own and automate data operations processes, including coordination with external vendors and internal data teams
  • Enhance observability of data pipelines by creating and maintaining dashboards and implementing automated checks
  • Monitor data pipelines and provide Level 1 production support
  • Monitor framework and infrastructure systems to ensure operational stability
  • Maintain and update operational runbooks and process documentation

Your present skillset

  • Bachelor’s or master's degree in engineering or a related field.
  • 3+ years of Experience in data operations and production support
  • Strong Python scripting skills
  • Collaborative mindset with a positive and proactive attitude
  • Strong problem-solving skills, communication abilities, and attention to detail

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.

What this application asks

greenhouse

First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location

  • Highest Diploma/qualification achieved choose one
  • Graduation Year choose one
  • Base Salary Currency choose one
  • Current Base Salary ***in numeric form***
  • Last Bonus Currency choose one
  • Last Bonus ***numeric form***
  • Are you subject to any deferred compensation or potential claw back? choose one
  • Other Salary Components
  • Notice Period
  • Non-Compete
  • Do you have any family members or close relatives currently employed at QRT? If yes, please provide their name(s) and relationship(s) to you.
  • LinkedIn Profile optional
  • Privacy Policy choose any

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