Senior Data Engineer

Budapest, Hungary

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.

WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.

Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role:

We are looking for an experienced Python developer who will help us to build and maintain an ecosystem for processing multiple datasets from different sources (both internal and external) vital to the firm’s investment operations.

Key Responsibilities:

  • Creating optimized and fault-tolerant data processing pipelines
  • Developing interfaces and micro services in Python
  • Developing efficient algorithms for data processing
  • Testing and integrating external APIs
  • Enriching company’s data
  • Implementing data cleansing, transformation, and validation to ensure data integrity and quality
  • Monitoring and maintaining the health and performance of webservices and databases
  • Troubleshooting and resolving data processing issues

What You’ll Bring:

  • A bachelor / master degree in a technical or quantitative field from top university
  • At least 3 years of experience as a data engineer or software developer
  • Strong problem-solving skills and an analytical mindset
  • Excellent programming skills
  • Experience with data processing using Python
  • Experience with databases, at least SQL ones
  • Experience with Containers and Kubernetes
  • Scripting skills in UNIX environment
  • Debugging skills, eye for detail and identifying problems
  • A passion for working with data

What We Offer:

  • Competitive compensation package 
  • Core benefits include: premium private health insurance and life insurance with savings plan  
  • Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
  • Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
  • Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  • Employee resources groups with strong diversity and inclusion culture 



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