Directeur Automation & data engineering H/F
Leihia · Pontoise, Île-de-France, France
- On site
- Full-time
- €120,000 / year
- Pontoise, Île-de-France, France
Job highlights
- Lead data and automation engineering initiatives.
- Design and build core platform components.
- Manage complex client integration projects.
- Develop and mentor a specialized team.
- Work with cutting-edge AWS cloud technologies.
About the role
Director of 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 to design the internal products that enable the entire ecosystem of our client to function, improve, and scale. You will work at the intersection of data, automation, and complex client challenges.
Your Missions
You will structure, manage, and evolve a key area around three main 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 infrastructure for processing and curating clinical data, ensuring its quality, freshness, and regulatory compliance.
- Develop the platform's automation capabilities to transform complex integrations into replicable solutions.
- Position APIs as true products, ensuring a fluid and autonomous developer experience.
2- Address Strategic Client Issues
- Act as the technical reference 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).
- Oversee technical implementation through to production deployment.
- Leverage these projects to transform specific cases into standardized features.
3- Structure and Grow the Team
- Lead a specialized team in data, bioinformatics, and automation.
- Recruit, mentor, 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
Candidate Profile
- Solid experience in engineering with a strong focus on data and backend.
- Proven experience managing technical teams and structuring a growing environment.
- Proficiency in data architectures, ETL pipelines, and cloud environments.
- Comfort 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 think strategically while remaining operational.
- SaaS B2B or regulated environment experience is a significant plus.
- A sensitivity to health or bioinformatics subjects can be an advantage, but is 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, even 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
- Data Engineering
- Automation
- ETL
- API Design
- Cloud Architecture
- Python
- SQL
- Team Leadership
- Product Management
- System Integration
Skills & topics
- Director of Automation and Data Engineering
- Data Engineering
- Automation
- ETL
- API Design
- Cloud Architecture
- Python
- SQL
- Team Leadership
- AWS
How to get hired
- Tailor your resume: Highlight your experience in data engineering, automation, backend development, and team leadership, using keywords from the job description.
- Showcase your impact: Quantify your achievements in previous roles, especially those involving complex integrations, scalable solutions, and team growth.
- Prepare for technical interviews: Be ready to discuss your experience with Python, SQL, ETL, API design, AWS, and system integration challenges.
- Demonstrate leadership: Prepare examples of how you've structured teams, mentored engineers, and driven technical strategy.
- Practice behavioral questions: Be ready to discuss how you handle complex problems, collaborate with stakeholders, and maintain high standards.
Technical preparation
Master Python, SQL, and data pipeline concepts.,Understand ETL, data modeling, and orchestration (Airflow).,Prepare to discuss API design and AWS architecture.,Review complex system integration examples.
Behavioral questions
Describe a complex technical problem you solved.,How do you balance product development and client needs?,Share an example of team growth you managed.,How do you ensure data quality and compliance?
Frequently asked questions
- What is the work arrangement for the Director of Automation & Data Engineering role at Leihia?
- The Director of Automation & Data Engineering role at Leihia is a 100% hybrid position, offering flexibility for remote work while maintaining a connection to the company's collaborative environment.
- What are the primary responsibilities of the Director of Automation & Data Engineering at Leihia?
- The primary responsibilities include designing and developing internal data and automation products, managing complex client integrations, and leading a specialized team of data, bioinformatics, and automation engineers.
- What technical skills are most important for the Director of Automation & Data Engineering position at Leihia?
- Key technical skills include expertise in Python, SQL, ETL, data pipelines, data modeling, API design (REST, SDK), cloud platforms (AWS), and infrastructure tools like Docker and Kubernetes. Experience with LIMS, HL7/FHIR is also valuable.
- Does Leihia require fluent English for the Director of Automation & Data Engineering role?
- Yes, fluent English is mandatory for the Director of Automation & Data Engineering role, and all interviews will be conducted in English.
- What kind of team will the Director of Automation & Data Engineering lead at Leihia?
- You will lead a specialized team within the Platform group, composed of hybrid profiles in data, bioinformatics, automation, and API development.
- Is experience in regulated environments or SaaS B2B important for this role at Leihia?
- While not strictly required, experience in SaaS B2B or a regulated environment is considered a significant plus for the Director of Automation & Data Engineering role at Leihia.
- How does Leihia approach client integrations for the Director of Automation & Data Engineering role?
- The role involves acting as a technical reference for complex integrations, supporting pre-sales, designing custom solutions for challenging environments, and ensuring successful deployment, with a focus on transforming specific cases into standardized features.
- What is the size and structure of the technical organization at Leihia?
- Leihia has a technical organization of approximately 45 people, structured into several specialized teams, including the Platform team you would lead.