Data Engineer

Overview

Join a prominent high-frequency trading firm as a Data Engineer within one of their most successful quantitative trading teams. This organization blends the dynamic atmosphere of a start-up with the stability of a well-established enterprise, providing an inspiring setting to develop advanced technology.

Key Responsibilities

• Develop, implement, and maintain complex Python-based infrastructure directly supporting front-office operations.
• Work collaboratively with traders and technology specialists to design effective solutions.
• Tackle challenging technical problems in a fast-moving and vibrant environment.
• Create solutions that prioritize robustness, scalability, high availability, throughput, and low latency.
• Engage with advanced technologies within an innovative and forward-thinking team culture.

Qualifications and Skills

• Strong analytical and problem-solving abilities enabling informed engineering decisions emphasizing maintainability, scalability, and ease of debugging.
• Proficient knowledge of Python programming and Linux operating systems.
• Highly motivated and self-managed with the ability to handle multiple projects simultaneously.
• Holds a Bachelor's degree or higher in Computer Science, Computer Engineering, or an equivalent field.
• Keen interest in automated electronic trading and enthusiasm for data and software development.
• Interest or experience in sports or sports betting is a plus, though financial sector experience is not required.

Benefits

• Competitive base salary supplemented by performance-related bonuses, negotiable for suitable candidates.
• Flexible working arrangements, including options for working from home.
• Supportive and collaborative workplace culture fostering engagement and reward.
• Complimentary meals provided throughout the day — breakfast, lunch, and dinner.