The Role
The Senior Data Engineer will build and maintain data pipelines on GCP for AI models, ensuring data quality and collaborating with teams on data governance.
Summary Generated by Built In
Your Impact
We are looking for a Senior Data Engineer to join the AI Team working on our AI Medical Companion.
Your mission will be to build and optimize the data foundations that power safe, scalable, and impactful AI models. You will work on data infrastructure for LLM, VLM, and RAG-based systems, ensuring our engineers and data scientists can train, evaluate, and deploy AI models efficiently on high-quality, well-structured, and compliant data. Your work will directly support health professionals in delivering better care while improving their work-life balance, ultimately impacting 80 million patients and 400,000 healthcare professionals across Europe.
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:
- Design, build, and maintain scalable data pipelines on Google Cloud Platform (GCP) for AI and machine learning use cases
- Implement data ingestion and transformation frameworks that power Retrieval systems and training datasets for LLMs and multimodal models
- Architect and manage NoSQL and Vector Databases to store and retrieve embeddings, documents, and model inputs efficiently
- Collaborate with ML and platform teams to define data schemas, partitioning strategies, and governance rules that ensure privacy, scalability, and reliability
- Integrate unstructured and structured data sources (text, speech, image, documents, metadata) into unified data models ready for AI consumption
- Optimize performance and cost of data pipelines using GCP native services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Vertex AI)
- Contribute to data quality and lineage frameworks, ensuring AI models are trained on validated, auditable, and compliant datasets
- Continuously evaluate and improve our data stack to accelerate AI experimentation and deployment
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 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
- You have strong experience with the GCP data ecosystem and proficiency in Python and SQL
- You have deep understanding of NoSQL systems (e.g., MongoDB) and vector databases (e.g., FAISS, Vector Search)
- You have experience designing data architectures for RAG, embeddings, or model training pipelines
- You have knowledge of data governance, security, and compliance for sensitive or regulated data
- You are fluent in English
It would be fantastic if you:
- You hold a Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field
- You have familiarity with W&B / MLflow / Braintrust / DVC for experiment tracking and dataset versioning
- You have experience with containerized environments (Docker, Kubernetes) and CI/CD for data workflows
- 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
- Recruiter Interview
- Technical Deep Dive
- System Design Interview
- Behavioral Interview
- 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: GCP, Python, SQL, NoSQL, Vector Databases, AI/ML
- Full-time
- Paris, France
- Hybrid work setup (up to 2 remote days per week)
- Start date: as soon as possible
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!
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.
Skills Required
- 5+ years of experience in Data Engineering, ideally supporting AI or ML workloads
- Master's or Ph.D. degree in Computer Science, Data Engineering, or a related field
- Strong experience with the GCP data ecosystem
- Proficiency in Python and SQL
- Deep understanding of NoSQL systems and vector databases
- Experience designing data architectures for RAG or model training pipelines
- Knowledge of data governance, security, and compliance
- Familiarity with experiment tracking and dataset versioning
- Familiarity with containerized environments and CI/CD for data workflows
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world. 1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services. 2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health. At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do: 1. We create helpful solutions for care teams and people. 2. We serve everyone equally and create well-designed and accessible technologies. 3. We team up with our users to strive for a healthier world and act as one team. 4. We protect our users' privacy. It’s their health, their data. To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset. www.doctolib.com
