Join us as a Data Engineer (ML Infrastructure) to build the data layer that powers Qonto's machine learning products. Working alongside 15 ML Engineers, you will own the pipelines, feature stores, and model serving infrastructure that turn raw financial data into production‑grade ML so engineers spend their time on models, not plumbing.

You will report to Marianne Borzic or Benjamin Wolter.

What You'll Do

• Build and own ML data pipelines: Design, implement, and maintain Python pipelines that ingest, transform, and deliver datasets for model training and inference for use cases such as fraud detection, credit scoring, and accounting automation.
• Own the feature store: Design storage and access patterns for large‑scale feature datasets, balancing latency and cost so ML Engineers can retrieve features reliably at both training and serving time.
• Drive model serving infrastructure: Implement and maintain the infrastructure that deploys...