Data Engineer for AI Product

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 — covering use cases like fraud detection / credit scoring / 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 trained models into production, including versioning, scaling, and rollback. Build data quality and drift detection systems: work with ML Engineers to catch data issues before they degrade model performance in production. Set the data engineering standard: establish reusable Python and pipeline patterns the team builds on. What we're looking for: ML infrastructure experience: you have built pipelines and infrastructure that directly support ML workflows. Python at scale: fluent in Python for data engineering with Spark / dbt / Airflow / Ray. ML lifecycle understanding: knowledge of training, validation, deployment, monitoring. Systems thinking: design data architectures balancing today and tomorrow's scale. Production mindset: experience operating data systems in production. What we can offer: direct impact at scale, a rare team configuration of 3 Data Engineers + 15 ML Engineers, ownership over architecture, fast iteration with CD, cross-functional exposure across France, Germany, Italy, Spain and beyond. Your future manager options: Marianne Borzic or Benjamin Wolter. Locations hint: Paris, Barcelona, Milan, Berlin.