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Software Engineer - Data Platform

at Qube

Back to all Python jobs
Qube logo
Industry not specified

Software Engineer - Data Platform

at Qube

Mid LevelNo visa sponsorshipPython

Posted 3 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Software Engineer - Data Platform at Qube Research & Technologies (QRT): Build, maintain, and monitor production datasets, collaborating with cross-functional teams to prevent trading losses. Key responsibilities include developing and managing a robust data platform, maintaining shared libraries, and facilitating dataset onboarding. Required skills: Python, Apache Kafka, Snowflake, experience with data processing and big data, proven track record in data engineering. Join our tech-driven investment firm, infra-structure past mid-level experience.**

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 our 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 at QRT: 

We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses.

 
Your responsibilities will include: 

  • Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues 
  • Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets
  • Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines
  • Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform 

Your present skillset: 

  • Bachelor's or Master's degree in computer science, engineering or a related field 
  • Previous experience in software engineering, exposure to financial data is a plus  
  • Strong computer science fundamentals and proficiency in Python/Rust 
  • Familiarity with Kubernetes, container orchestration, and cloud infrastructure 
  • Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus 
  • Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus 
  • Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders  
  • Ability to work autonomously within a global 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.

Software Engineer - Data Platform

at Qube

Back to all Python jobs
Qube logo
Industry not specified

Software Engineer - Data Platform

at Qube

Mid LevelNo visa sponsorshipPython

Posted 3 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Software Engineer - Data Platform at Qube Research & Technologies (QRT): Build, maintain, and monitor production datasets, collaborating with cross-functional teams to prevent trading losses. Key responsibilities include developing and managing a robust data platform, maintaining shared libraries, and facilitating dataset onboarding. Required skills: Python, Apache Kafka, Snowflake, experience with data processing and big data, proven track record in data engineering. Join our tech-driven investment firm, infra-structure past mid-level experience.**

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 our 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 at QRT: 

We’re looking for a hands-on Software Engineer to join QRT. In this role you’ll build out the tooling that manages and monitors production datasets, keeping them flowing, observable, and reliable. You’ll work closely with other engineering teams and business stakeholders to deliver a mission-critical platform that prevents material trading losses.

 
Your responsibilities will include: 

  • Developing and maintaining a platform which ensures the quality and correctness of our datasets, and alerts stakeholders to critical production issues 
  • Maintaining and improving shared libraries which are used by developers across the data-function and facilitate the rapid onboarding of new datasets
  • Designing, building, and documenting our integrations with other team’s processes, which alert them to relevant issues with our data-pipelines
  • Supporting users in best practice usage of our tooling, migrating code to the latest standards as well as investigating, debugging and resolving issues with our platform 

Your present skillset: 

  • Bachelor's or Master's degree in computer science, engineering or a related field 
  • Previous experience in software engineering, exposure to financial data is a plus  
  • Strong computer science fundamentals and proficiency in Python/Rust 
  • Familiarity with Kubernetes, container orchestration, and cloud infrastructure 
  • Exposure to the front-end, particularly with regards to custom monitoring dashboards, is a plus 
  • Knowledge of data-quality frameworks (Soda/Great Expectations) is a plus 
  • Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders  
  • Ability to work autonomously within a global 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.

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