
Data Engineering Manager (x/f/m)
- Paris
- CDI
- Temps-plein
- 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 8+ years of experience in data engineering and data ops, including 3+ years managing or tech-leading 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.
- 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
- System design interview
- 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