About Doctolib
Doctolib provides a cloud-native platform with web and mobile app interfaces, adapted to country-specific and healthcare-specialty requirements. Its products use AI to empower patients and health professionals and improve access to healthcare.
Responsibilities
•Build and maintain data pipelines using Python and Dagster to support Doctolib's AI strategy
•Develop and maintain data marts in BigQuery using SQL, Jinja, and DBT
•Create high-level reporting dashboards in Tableau
•Collaborate with stakeholders to understand data needs and define specifications
•Ensure data quality, security, GDPR compliance, and availability through monitoring and optimization
Requirements
•At least 7 years of experience as a Data Engineer or in a similar role
•Initial experience using code assistants such as Claude or Cursor
•Proficiency in Python, SQL, and DBT for building data pipelines
•Experience with BI tools such as Tableau, Metabase, or similar platforms
•Initial experience with the Google Cloud Platform stack
•Good understanding of functional data areas such as Sales, Finance, Web Analytics, and Product
•Strong communication and collaboration skills with business teams
•Fluent English
Nice to have
•Experience with AI products
•Experience with Vertex AI
•Familiarity with GDPR regulations
Conditions & Benefits
•Free comprehensive basic health insurance for the employee and their children
•25 days of paid vacation per year, plus up to 14 days of RTT
•Free mental health and coaching services through Moka.care
•Work abroad for up to 10 days per year under the flexibility days policy
•Lunch vouchers worth €8.50 per working day, with €4.50 covered by Doctolib
•Work council subsidy for part of a sport club or creative class membership
•50% reimbursement of public transport subscription
•Parent Care Program: one additional month of leave on top of legal parental leave
•Enrollment in Doctolib's long-term employee value sharing plan, DoctoGrowth
•Caregiver and disability support package, including remote-policy adaptations, extra medical leave days, and psychological support
•Relocation support is available for international mobility
•Access to AI coding and development tools and dedicated training
•Hybrid setup allows up to 2 remote days per week
Interview process
Recruiter interview, coding interview, system design, behavioral interview and team meeting at the office, and at least one reference check.
