Data Engineering Manager (x/f/m)

Doctolib; Paris; Hybride; EUR 85 000 - 110 000; Plein temps

Résumé du poste

A leading healthcare technology company in Paris is seeking a Data Engineering Manager to lead and grow a team of Data Ops Engineers. This role focuses on building reliable and scalable data platforms that enable analytics and machine learning. Candidates should have extensive experience in data engineering and data operations, with strong technical skills in SQL and Python, along with knowledge of modern data stacks. The position offers a hybrid work model and comprehensive health benefits.

Prestations

Free comprehensive health insurance

Additional month of parental leave

Free mental health services

Flexible work from EU countries

Up to 14 days of RTT

Sport club membership refund

Lunch vouchers

Qualifications

• Strong analytical skills and user-first mindset.
• 12+ years of experience in data engineering, including 6+ years managing teams.
• Proven track record with large-scale data platforms.

Responsabilités

• Lead and manage a team of Data Ops Engineers.
• Define and execute technical strategy for data platforms.
• Establish high standards for data quality and governance.

Connaissances

Strong analytical skills

User-first approach

Experience with SQL

Experience with Python

Operating large-scale data platforms

Data quality management

Understanding of data governance

Formation

12+ years in data engineering

6+ years managing Data Engineers

Outils

Airflow/Dagster

dbt

Kafka/Kinesis

Spark

BigQuery

Snowflake

Redshift

Databricks

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). 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

• 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.

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.