Data Engineer (CDI) – Quantitative Finance | Paris, FR | Flexible

ADATA; Paris; Hybride; EUR 50 000 - 80 000; Plein temps

Résumé du poste

An established quantitative hedge fund seeks a skilled Data Engineer to enhance trading infrastructure. You’ll collaborate with various teams to ensure efficient data flows while working in a bilingual French-English environment, contributing significantly to the fund's strategic goals.

Prestations

Competitive salary based on experience

Bilingual work environment (French/English)

Flat and agile decision-making structure

High-impact role in a dynamic team

Access to discussions on business and strategy

Qualifications

• Deep understanding of Python and SQL.
• Interest in finance and/or quantitative trading.
• Familiarity with production environments.

Responsabilités

• Develop and support trading data infrastructure.
• Lead strategic projects like CI/CD pipelines.
• Support current data architecture.

Connaissances

Problem-solving

Collaboration

Adaptability

Data analysis

Formation

Experience as a Data Engineer or in a similar backend/data role

Outils

Airflow

PostgreSQL

Docker

GitHub Actions

Prometheus

Grafana

OpenTelemetry

Description du poste

We work for an established and high-performing quantitative hedge fund with over 15 years of proven track record. Specializing in commodities futures and options trading, we are recognized for our rigorous, data-driven strategies and consistent performance across market cycles. To support our continued growth and strengthen our trading infrastructure, we are looking for a skilled and motivated Data Engineer to join our core team.

Your Role

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)
• Team discussion and offer

Interested? Send your CV and a brief intro to [e-mail].