Senior Data Engineer - Analytics (x/f/m)

We are looking for a Senior Data Engineer - Analytics to join the Analytics Engineering team at Doctolib.

As a Senior Data Engineer - Analytics, your mission will be to work on building data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will be working in a team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy.

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

Building and maintaining data pipelines using Python (Dagster) to support Doctolib's AI strategy

Developing and maintaining data marts in BigQuery using SQL/Jinja, DBT

Creating dashboards for high-level reporting using Tableau

Collaborating with stakeholders to understand their data needs and define specifications

Ensuring data quality, security (GDPR compliance), and availability through monitoring and optimization

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, Dagster/DBT for orchestration, GCS/BigQuery for data warehousing, and Metabase/Tableau for BI and reporting.

Who you are