Senior Data Engineering Manager (xfm)

Doctolib; Paris; Hybride; EUR 80 000 - 120 000; Plein temps

Résumé du poste

A leading healthcare technology company in Paris is seeking a Data Engineering Manager to lead a team of Data Ops Engineers. You will define the technical strategy and roadmap for data platforms while ensuring high standards for data quality and governance. The role emphasizes hands-on expertise in SQL, Python, and modern data stacks while promoting engineering excellence through effective practices like CI/CD. Enjoy a hybrid work environment with comprehensive benefits and a commitment to improving healthcare access.

Prestations

Free comprehensive health insurance

Parent Care Program

Free mental health and coaching services

Flexible work remotely across EU countries

Up to 14 days of RTT

Subsidy for sport club membership

Lunch vouchers

Qualifications

• 12 years of experience in data engineering and data ops, including 6 years managing teams.
• Experience operating large-scale data platforms in production with a focus on data quality.
• Hands-on with SQL and Python, familiar with modern data stacks.

Responsabilités

• Lead, grow, and coach a team of Data Ops Engineers.
• Define technical strategy and roadmap for data platform capabilities.
• Build and operate robust data pipelines with strong SLAs/SLOs.

Connaissances

Analytical skills

Results-oriented mindset

User-first approach

Outils

SQL

Python

Airflow

dbt

Kafka

Spark

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.

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). C are deeply about data quality lineage observability and cost control. U nderstand 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
• 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

• Recruiter Interview
• Hiring manager interview
• Case Study
• Behavioral interview
• At least one reference check
• Offer!

Job details

• 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

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 for inquiries or to exercise your rights.