About this role
Your ImpactWe are looking for a Senior Data Engineer - Analytics to join the Analytics Engineering team at Doctolib.
Your mission will be to build data products that provide insights and support decision-making across Doctolib, helping to transform access to healthcare. You will work in a feature team developing data pipelines and solutions that empower our organization with data-driven insights while supporting our AI strategy, enabling health professionals to deliver better care and helping millions of patients access quality healthcare.
Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.
What you'll doYour responsibilities include but are not limited to:
Build and maintain data pipelines using Python (Dagster) to support Doctolib's AI strategy
Develop and maintain data marts in BigQuery using SQL/Jinja, DBT
Create dashboards for high-level reporting using Tableau
Collaborate with stakeholders to understand their data needs and define specifications
Ensure data quality, security (GDPR compliance), and availability through monitoring and optimization
Who you areBefore you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.
You'll be a great fit if you:
You have at least 7+ years of experience as a Data Engineer, or a similar role
You have a first experience using code assistant (Claude, Cursor)
You are proficient in Python, SQL, and DBT for building data pipelines
You have experience with BI tools such as Tableau, Metabase, or similar platforms
You have first experience with Google Cloud Platform (GCP) stack
You have a good understanding of functional aspects of data (Sales, Finance, Web Analytics, Product)
You have strong communication skills and can collaborate effectively with business teams
You are fluent in English
It would be fantastic if you:
Have experience with AI products
Have experience with Vertex AI
Are familiar with GDPR regulations
Life at Doctolib TechOur solutions are built on a single fully cloud-native platform that supports web and mobile app interfaces, multiple languages, and is adapted to country and healthcare specialty requirements.
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.
Want to learn more about our tech culture and environment? Visit the Doctolib Tech site.
What we offerFree comprehensive health insurance (basic package) for you and your children
25 days of paid vacation per year, plus up to 14 days of RTT
Free mental health and coaching services through our partner Moka.care
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
A subsidy from the work council to refund part of the membership to a sport club or a creative class
50% reimbursement of your public transport subscription
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Enrollment in Doctolib's long-term employee value sharing plan called DoctoGrowth
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Relocation support in case of international mobility
Access to the best AI tools for coding, development and dedicated training
Our interview processRecruiter Interview
Live tech interview
Behavioral interview
Meeting with the team at the office
At least one reference check
We want your experience to be clear, respectful, and transparent. Learn more about our hiring process on our candidate experience page.
Job detailsPermanent position
Tech stack: Python, SQL, DBT, BigQuery, Tableau, Dagster
Full-time
Paris
Hybrid work setup (up to 2 remote days per week)
Start date: as soon as possible
We welcome everyoneAt Doctolib, we are committed to improving access to healthcare for everyone. This translates into our recruitment process. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination.
The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, or disability.
To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you require any accommodation, please let us know for support during the hiring process.
Join us in building the healthcare we all dream of!
Your data privacyAll information provided is processed by Doctolib for application management. For data processing details, click here: Germany l France l Italy l Netherlands. Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights.