Senior Data Engineer

Posted 9 Days Ago
Be an Early Applicant
Budapest
3-5 Years Experience
Financial Services
The Role
Seeking an experienced Python developer to build and maintain a data processing ecosystem for multiple datasets crucial to investment operations. Responsibilities include creating automated data processing systems, integrating data sources, developing interfaces, enriching company data, preprocessing data, developing algorithms, testing APIs, and supporting Business Analysts team.
Summary Generated by Built In

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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By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.

Copyright © 2024 WorldQuant, LLC. All Rights Reserved.
WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Top Skills

Python
The Company
HQ: Old Greenwich, CT
2,008 Employees
On-site Workplace
Year Founded: 2007

What We Do

WorldQuant is a global quantitative asset management firm with over $7 billion in assets under management. Founded in 2007 by Igor Tulchinsky with the belief that talent is global, but opportunity is not, WorldQuant has more than 1,000 employees spread among 26 global offices. WorldQuant seeks to get to the future faster, guided by the principle that there are an infinite number of insights to discover. The firm develops and deploys investment strategies across a variety of asset classes in global markets. For more information on WorldQuant’s philosophy and culture, please visit www.worldquant.com.

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