As a Data Engineer, you will work closely with the portfolio manager, developers, front office and researchers to ensure high-quality data flows, robust systems, and efficient pipelines that support our trading, research, and risk processes.
Your daily responsibilities will include :
- Developing and supporting our trading data infrastructure (executions, real-time positions, PnL, risk)
- Take the lead in strategic projects (CI / CD pipelines, telemetry / monitoring, distributed storage)
- Developing and supporting the current data architecture (Airflow, PostgreSQL, Docker, Superset)
- Languages : Python, SQL
- Tools : Airflow, PostgreSQL, Superset, GitHub Actions, Docker, Prometheus, Grafana, OpenTelemetry
- Environments : Linux-based, containerized architecture
What We’re Looking For
- Confirmed experience as a Data Engineer or in a similar backend / data role
- Deep understanding of Python and SQL
- Interest in finance and / or quantitative trading environments in an entrepreneurial firm
- Familiarity with production environments and workflow orchestration
- A flexible mindset with strong adaptability in a fast-changing environment, while demonstrating strong team spirit and collaboration skills.
- Problem-solving mindset and capacity to work autonomously
- Strong team collaboration skills
- Fluent in English (French is a plus)
What We Offer
- Competitive salary based on experience
- Bilingual work environment (French / English)
- Flat and agile decision-making structure
- High-impact role in a small, dynamic team where your work is visible and valued
- Access to business, technical and strategic discussions — grow with the fund
Recruitment Process
- Pre-screening technical test (Visio) on Python, SQL and Service Administration (Linux)
- Technical interview & advanced assessments (on-site)