Staff AI Data Engineer (x/f/m)

<p>We are looking for a <strong>Staff Data Engineer - AI </strong>to join the <strong>AI</strong> team at Doctolib.

</p> <p>As a <strong>Staff Data Engineer AI</strong>, 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.

</p> <p>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.

</p> <p>Your.

Responsabilidades

• 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

Acerca de

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

  Requisitos

  To address these challenges, we are modularizing our platform run in a distributed architecture through reusable components.

  </li> <li>Our stack is composed of Rails, TypeScript, Java, Python,.