Staff AI Data Engineer (x/f/m)

We are looking for a Staff Data Engineer - AI to join the AI team at Doctolib.

As a Staff Data Engineer AI, your mission will be to build robust data pipelines - from data capture to monitoring - to power our AI systems and support our ambition to transform healthcare delivery. You will be embedded in the AI teams delivering AI-powered features to healthcare professionals and patients.

Working in the tech team at Doctolib involves building innovative products and features to improve the daily lives of care teams and patients. We work in feature teams in an agile environment, while collaborating with product, design, and business teams.

Your responsibilities include but are not limited to

Design and implement data capture and ingestion systems ensuring data quality, privacy compliance (anonymization, consent, retention), and GDPR adherence

Build, optimize and maintain end to end data pipelines using Python, Dagster, BigQuery, SQL/Jinja, DBT

Enable AI model development by providing datasets for training, evaluation, and annotation workflows

Develop custom monitoring solutions including online metrics pipelines and dashboards (Amplitude, Metabase, Tableau) to track AI system performance

Collaborate with the Data Platform teams to optimize infrastructure, ensure scalability, and manage costs effectively

About our tech environment

Our solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to the country and healthcare specialty requirements. To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.

Our stack is composed of Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native.

We leverage AI ethically across our products to empower patients and health professionals. Discover our AI vision here and learn about our first AI hackathon here!

Our data stack includes: Kafka/Debezium for data ingestion,