Data Integration Specialist - Python Job in Qube Research And Technologies

Data Integration Specialist Python

Location: Mumbai

Company: Qube Research & Technologies (QRT)

Job Type: Full-Time

About QRT

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all major liquid asset classes. We are a technology-first, data-driven firm, combining deep domain expertise with advanced research and innovative tools to solve complex challenges. Our collaborative culture fuels continuous innovation and a shared commitment to delivering exceptional performance.

Your Role at QRT

As a Data Integration Specialist, your core mission is to manage and optimize the vast array of datasets that power QRT s research and trading platforms. You will work at the intersection of data engineering and financial markets, ensuring that structured and unstructured data from diverse sources is accessible, reliable, and efficiently integrated.

Key Responsibilities

• Data Pipeline Management: Design, implement, and maintain robust data ingestion and integration pipelines for large-scale financial and alternative datasets.
• API Development: Contribute to the design and implementation of QRT s internal data store and its API for consumption by research and trading systems.
• Data Monitoring: Proactively monitor data health and the performance of fetching processes to ensure data quality and availability.
• Alternative Data Integration: Identify, onboard, and normalize non-traditional datasets into QRT s ecosystem for alpha discovery and research.
• User Support: Act as a point of contact for quantitative researchers and traders regarding data access, integrity, and customization needs.

Required Experience & Skills

• Experience: 2 10+ years of relevant experience in data engineering, data integration, or financial data operations.
• Programming:
  • Advanced proficiency in Python is mandatory.
  • Experience or familiarity with C#, Rust, or JavaScript is a plus.
• Data Handling:
  • Proven experience working with large-scale structured and unstructured datasets.
  • Exposure to modern data technologies including data lakes, data mesh, or cloud-based data platforms.
• Finance Domain:
  • Experience with financial instruments, market data feeds, and major data vendors (e.g., Bloomberg, Refinitiv) is advantageous.
• Soft Skills:
  • Strong problem-solving and analytical skills.
  • Ability to work independently and collaboratively in a global, fast-paced environment.
  • Excellent English communication skills, both written and verbal.

Nice to Have

• Prior experience in a quantitative research or trading-focused organization.
• Familiarity with data modeling, ETL frameworks, or real-time data streaming.

What QRT Offers

• Work in a cutting-edge technical environment at the forefront of quantitative finance.
• Exposure to a diverse range of global financial data and complex integration challenges.
• A collaborative, intellectually rigorous culture that values innovation and continuous learning.
• Competitive compensation and benefits.
• Support for professional development, work-life balance, and diversity and inclusion.