Data Engineer – Quant Team

Role Overview

Join our innovative Quant Team at FDJ United, where we build cutting-edge quantitative sports models from prototype to production. We're integral to shaping the future evolution of our in-house Sportsbook Platform.

Our team is split into Quant Research and Quant Engineering. The Quant Engineering stream is all about creating robust, flexible, and high-performing data pipelines and products. We're seeking a passionate Quant Data Engineer to help us scale and enhance our data capabilities, providing the essential data backbone for advanced model development and seamless deployment.

What You'll Do

• Design and build reliable data pipelines, creating streamlined ETL processes and ensuring data quality through effective validation frameworks.
• Develop accessible software layers, enabling easy and controlled access to Quant Team data products.
• Collaborate closely with senior team members to shape the architecture and delivery of impactful Quant Team projects.
• Deploy and manage software applications using modern CI/CD best practices, including containerisation with Docker and orchestration with Kubernetes.
• Work proactively with colleagues to continuously refine, optimise, and monitor our data-driven products in a production environment.
• Foster collaboration and innovation within the team, contributing new ideas and taking ownership of independent tasks.
• Effectively communicate technical insights and project updates to both technical colleagues and broader stakeholders.

What We're Looking For Essential:

• 2-3 years of hands-on experience in data engineering or a similar role.
• Proficiency with Python and SQL, alongside experience with data processing libraries like Pandas or Polars.
• Comfortable working with diverse datasets and formats through a database or datalake technologies such as PostgreSQL, Apache Iceberg.
• Experience developing and deploying cloud-based solutions (AWS preferred) using cloud-native and open-source services.
• Familiarity with workflow orchestration tools (Airflow preferred) and experience orchestrating data pipelines.
• A passion or interest in sports data or related domains.
• A proactive mindset, keen to learn new skills and solve complex problems.

Desirable:

• Masters/PhD in a STEM-related subject.
• Familiarity with functional and object-oriented programming paradigms.
• Contributions to open-source projects, e.g., GitHub – Share with us your current and past projects.
• Interest or experience in the sports betting industry.
• Ability to establish data governance and quality standards.

Why Join Us?

At FDJ United, you'll be part of a collaborative and passionate team, solving challenging problems and making tangible impacts on our products and customers. We prioritise your professional growth, providing opportunities to innovate, experiment, and learn from experienced team members.

We encourage curiosity, creativity, and ambition. Join us in redefining the future of quantitative sports betting!