At Doctolib, data is mission-critical to simplifying access to healthcare and improving quality of care. As a Data Engineering Manager, you will work in the Data & AI Platform team. Data & AI Platform is our foundational engine to make Doctolib the best-in-class AI healthcare company in Europe, empowering our teams through a unified "AI Factory" and enabling external collaboration to become the central hub for research and digital health.
As a Data Engineering Manager, you will lead a team of Data Ops Engineers to build and operate reliable, secure, and scalable data platforms that power analytics, product decisioning, and machine learning across Doctolib
You will be accountable for the technical vision, delivery, and people development of your team, partnering closely with Product, Analytics, Data Science, Security, and Platform Engineering to enable trustworthy, compliant, and self-serve data at scale.
What you’ll do- Lead, grow, and coach a team of Data Ops Engineers (hiring, performance, career paths, continuous feedback).
- Define the technical strategy and roadmap for data platform capabilities.
- Build and operate robust batch and real-time data pipelines with strong SLAs/SLOs, observability, lineage, and cost efficiency (FinOps).
- Establish high standards for data quality and governance: data contracts, testing, documentation, schemas, cataloging, and access controls.
- Enable product and AI/ML teams with reliable datasets and services (feature pipelines, event streams, metrics layers, experiment data).
- Drive best practices in data modeling (e.g., dimensional, wide tables, semantic layers) and transformation frameworks.
- Partner with Security/Legal to ensure privacy-by-design and compliance with EU regulations (GDPR, and health data requirements such as HDS in France): PII minimization, encryption, retention, and audit.
- Champion platform reliability: on-call readiness, incident response, postmortems, and continuous improvement.
- Collaborate with stakeholders to translate business needs into data products and measurable outcomes; plan and deliver via OKRs.
- Promote engineering excellence: code reviews, CI/CD for data, IaC, reproducibility, and developer productivity (AI tooling adoption)
- Have strong analytical skills, are result-oriented, and user-first.
- Bring 12+ years of experience in data engineering and data ops, including 6+ years managing Data Engineers / Data Ops.
- Have proven experience operating large-scale data platforms in production (batch and streaming). Care deeply about data quality, lineage, observability, and cost control. Understand data governance, security, and privacy in regulated environments (e.g., GDPR).
- Are hands-on with SQL and Python, and familiar with modern data stacks (e.g., orchestration such as Airflow/Dagster; transformation framework such as dbt; streaming services such as Kafka/Kinesis; processing framework such as Spark).
- Have solid experience with cloud data warehouses/lakehouses (e.g., BigQuery, Snowflake, Redshift, or Databricks) and object storage.
Now, it would be fantastic if you:
- Have experience in healthcare, B2C marketplace, or other high-scale consumer products.
- Have driven data mesh/domain-oriented data ownership, or built self-serve data platforms.
- Communicate effectively with technical and non-technical partners; proficiency in French or German is a plus.
- Free comprehensive health insurance for you and your children
- Parent Care Program: receive one additional month of leave on top of the legal parental leave
- Free mental health and coaching services through our partner Moka.care
- For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
- Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
- Up to 14 days of RTT
- A subsidy from the work council to refund part of the membership to a sport club or a creative class
- Lunch voucher with Swile card
- Recruiter Interview
- Hiring manager interview
- Case Study
- Behavioral interview
- At least one reference check
- Offer!
- Permanent position
- Full-time
- Location: Doctolib Paris office in Levallois-Perret
- Work mode: Hybrid 3 days/week in the office
- Start date: as soon as possible
Top Skills
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
