Data Engineering Manager

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) Who you are 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. What we offer 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 The interview process Case Study Behavioral interview At least one reference check Offer Job details Full‑time Location: Doctolib Paris office in Levallois‑Perret Work mode: Hybrid 3 days/week in the office Start date: as soon as possible If you would like to find out more about tech life at Doctolib, feel free to read our latest Medium blog articles 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, 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 All information provided is processed by Doctolib for application management. For data processing details, click here . Please contact hr.dataprivacy(at)doctolib.com for inquiries or to exercise your rights. #J-18808-Ljbffr