Data Engineering Manager Emplois

Description du poste

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.

Responsabilités

Lead, grow, and coach a team of Data Ops Engineers
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)

Exigences

Strong analytical skills, result-oriented, and user-first
12+ years of experience in data engineering and data ops
6+ years managing Data Engineers / Data Ops
Proven experience operating large-scale data platforms in production (batch and streaming)
Deep care about data quality, lineage, observability, and cost control
Understanding of data governance, security, and privacy in regulated environments (e.g., GDPR)
Hands-on with SQL and Python
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)
Solid experience with cloud data warehouses/lakehouses (e.g., BigQuery, Snowflake, Redshift, or Databricks) and object storage

Souhaitable

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

Ce que nous offrons

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

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Data Engineering Manager

Description du poste

Responsabilités

Exigences

Souhaitable

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