Senior Data Engineer (x/f/m)

Doctolib; Deutschland; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Health insurance

Vacation days

Mental health support

Remote work policy

Lunch vouchers

Transport subsidy

Relocation support

AI tools access

Zusammenfassung

Doctolib is seeking a Senior Data Engineer to join our engineering team in Paris. You will build data products and data pipelines that power insights and AI initiatives, enabling health professionals to deliver better care and improving patient access.

You will work in a feature team to design data pipelines, create data marts in BigQuery, and develop dashboards for executive reporting. The role requires 7+ years of data engineering experience and strong Python/SQL/DBT skills, plus GDPR-savvy

Qualifikationen

• 7+ years of experience as a Data Engineer or similar role.
• Proficient in Python, SQL, and DBT for building data pipelines.
• Experience with BI tools like Tableau or similar.

Aufgaben

• 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 data needs and define specifications.
• Ensure data quality, security (GDPR compliance), and availability through monitoring and optimization.

Kenntnisse

Python

SQL

DBT

Dagster

Tableau

GCP

English

Jobbeschreibung

Your Impact

We are looking for a Senior Data Engineer into our 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 do

Your 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 are

Before 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 Tech

• Our 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 offer

• Free 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 process

• Recruiter Interview
• Coding Interview
• System Design
• 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 details

• Permanent 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 everyone

At 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!

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