Job Description
We are seeking a Senior Full Stack Engineer to join our team in Vienna, Austria. This role is ideal for a seasoned developer with a strong background in Python and Django, who is passionate about building robust, data-driven applications.
Responsibilities
- Develop and Manage Data-Driven Configurations: Utilize the Django web framework to create and maintain configurations for data consumption, enhancement, and visualization.
- Collaborate with Operations and Investment Teams: Work closely with the Operations and Investment teams to understand their requirements and develop a suite of tools and dashboards that support trading, risk management, and operational efficiency.
- Develop Comprehensive Documentation: Create detailed internal and end-user documentation for the tools and systems developed, ensuring clear communication of their functionalities and usage guidelines.
Must-Have Qualifications
- Minimum of 3+ years of professional experience with Python.
- Experience working in a financial organization.
- Proficiency in frontend development concepts such as HTML, CSS, and JavaScript.
- Experience with Django or a similar Python web framework.
- Experience with GitHub/Git, or comparable distributed version control system.
- Experience working in a Linux command line environment.
- Experience with relational and NoSQL databases.
Nice-to-Have Qualifications
- Experience with Postgres, Redis, Asyncio, React, gRPC/Protobuf.
Interview Process
- Intro call with Toughbyte (30 min)
- Interview with Data Engineer (45 min)
- Technical Assessment (1 hour)
- Interview with Senior Developer (45 min)
- Interview with Senior Data Engineer (45 min)
Join us and be part of a dynamic team that is at the forefront of technology in the financial sector. We offer a competitive salary and opportunities for professional growth in a collaborative work environment.
About the Company
Our client is a technology-led hedge fund founded in 2015, passionate about collecting, cleaning, transforming, and storing data to feed trading strategies. Its data-driven trading models utilize a variety of open-source technologies and multiple data sources, from vendor APIs to a fleet of web crawlers running 24/7, to make trading decisions in the global markets. The firm manages assets on behalf of a diverse range of clients including pension plans, insurance companies, financial institutions, family offices, and qualified individual investors.
Benefits Extracted with AI
- Competitive salary
- Opportunities for professional growth
- Collaborative work environment
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