Director of Automation and Data Engineering

Director Automation & Data Engineering (H/F) - 100% Hybrid

Your Role

As the Director of Automation & Data Engineering, you will take responsibility for one of the technological pillars of the platform. Your mission is structuring: designing the internal products that enable our client's entire ecosystem to function, improve, and deploy at scale. You will operate at the intersection of data, automation, and complex client challenges.

Your Missions

You will structure, manage, and evolve a key area around three axes: 1- Build Data & Automation Foundations

• Design and develop the internal components that power the entire platform.
• Structure data pipelines and analysis tools to monitor activity, understand client usage, and guide product decisions.
• Manage the infrastructures for processing and curating clinical data, ensuring their quality, freshness, and regulatory compliance.
• Develop the platform's automation capabilities to transform complex integrations into replicable solutions.
• Position APIs as true products with a fluid and autonomous developer experience.

2- Address Strategic Client Challenges

• Serve as the technical referent for the most complex integration projects.
• Support sales teams in pre-sales phases by providing a clear vision of possible architectures.
• Design custom solutions for demanding environments (LIMS, HL7/FHIR, legacy systems).
• Manage technical implementation through to production deployment.
• Leverage these projects to transform specific cases into standardized features.

3- Structure and Grow the Team

• Lead a team specialized in data, bioinformatics, and automation.
• Recruit, coach, and develop key talent.
• Organize production between product development and client project support.
• Implement technical standards, reliable delivery processes, and a framework compliant with regulatory requirements.

Environment

A technical organization of approximately 45 people, structured around several specialized teams. Your Platform team consists of hybrid profiles: data, bioinformatics, automation, and API. You will collaborate closely with the product, infrastructure, and engineering teams.

Technical Environment

• Languages: Python, SQL
• Data: ETL, pipelines, data modeling
• Orchestration: Airflow (or equivalent)
• Automation: N8N / workflows
• APIs: REST, SDK, developer tooling
• Integrations: LIMS, HL7, FHIR
• Cloud: AWS
• Infra: Docker, Kubernetes
• Data quality: validation, monitoring, lineage

Profile Sought

• Solid experience in engineering with a strong focus on data and backend.
• Proven experience managing technical teams and structuring a growing environment.
• Mastery of data architectures, ETL pipelines, and cloud environments.
• Proficiency with Python, SQL, and API design.
• Understanding of system integration challenges and experience with complex environments.
• Ability to interact with diverse stakeholders, both technical and business.
• Capacity to take a high-level view while remaining operational.
• Experience in SaaS B2B or regulated environments is a significant plus.
• A sensitivity to health or bioinformatics topics can be a differentiator, though not essential.
• Fluent English is mandatory for success in this role. Your interviews will be conducted in English.

What will make the difference

• Your ability to transform complex problems into structured, replicable solutions.
• Your product-oriented approach, including for internal tools.
• Your understanding of client needs and your ability to integrate them into technical choices.
• Your high standards for quality, performance, and scalability.

Key skills/competency:

• Automation
• Data Engineering
• Data Pipelines
• ETL
• API Design
• Cloud (AWS)
• Python
• SQL
• Team Leadership
• Problem Solving