Directeur Automation & data engineering H/F
Leihia · Triel-sur-Seine, Île-de-France, France
- On site
- Full-time
- $150,000 / year
- Triel-sur-Seine, Île-de-France, France
Job highlights
- Lead data and automation engineering.
- Design internal platform products.
- Manage complex client integrations.
- Grow and structure a specialized team.
- Work with modern cloud technologies.
About the role
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.
- 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.
- 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.
- Automation
- Data Engineering
- Data Pipelines
- ETL
- API Design
- Cloud (AWS)
- Python
- SQL
- Team Leadership
- Problem Solving
Skills & topics
- Director Automation & Data Engineering
- Data Engineering
- Automation
- ETL
- Data Pipelines
- API Design
- Python
- SQL
- AWS
- Team Leadership
How to get hired
- Tailor your resume: Highlight your experience in data engineering, automation, team leadership, and API development. Quantify achievements where possible.
- Showcase technical skills: Emphasize proficiency in Python, SQL, ETL, AWS, and experience with LIMS/HL7/FHIR integrations.
- Prepare for technical interviews: Be ready to discuss data architecture, pipeline design, automation strategies, and problem-solving scenarios.
- Demonstrate leadership: Prepare examples of how you've managed technical teams, structured environments, and driven projects to success.
- Understand the company: Research Leihia's mission and how your role contributes to their platform's success and client solutions.
Technical preparation
Master Python, SQL, and ETL processes.,Understand data modeling and pipelines.,Prepare for AWS and Docker/Kubernetes questions.,Familiarize with API design principles.
Behavioral questions
Describe leading a technical team.,How do you handle complex integrations?,Share an example of product-oriented solutions.,How do you ensure data quality and scalability?
Frequently asked questions
- What is the primary focus of the Director Automation & Data Engineering role at Leihia?
- The Director Automation & Data Engineering role at Leihia is focused on leading the design, development, and scaling of internal data and automation products that power the company's platform. This includes structuring data pipelines, developing automation capabilities, and managing complex client integrations, all while leading a specialized team.
- What technical skills are most important for this Director Automation & Data Engineering position?
- Key technical skills for this role include proficiency in Python and SQL, expertise in ETL processes and data modeling, experience with orchestration tools like Airflow, and familiarity with automation tools such as N8N. A strong understanding of API design (REST, SDK), cloud platforms (AWS), containerization (Docker, Kubernetes), and data quality principles is also crucial.
- Does Leihia require experience with specific healthcare or bioinformatics systems for this role?
- While experience with LIMS, HL7, or FHIR systems, or a sensitivity to health/bioinformatics subjects, is considered a significant advantage for the Director Automation & Data Engineering role at Leihia, it is not strictly mandatory. The company values a strong engineering background with a data and backend focus, coupled with leadership capabilities.
- What is the work arrangement for the Director Automation & Data Engineering at Leihia?
- The Director Automation & Data Engineering position at Leihia is a 100% hybrid role, offering flexibility in how and where you work while maintaining team collaboration and operational efficiency.
- How does Leihia approach team development and management for this role?
- Leihia emphasizes structuring and growing the team. The Director Automation & Data Engineering will be responsible for recruiting, coaching, and upskilling key talent within the data, bioinformatics, and automation specializations. They will also organize production workflows and establish technical standards.
- What does Leihia expect in terms of problem-solving for this role?
- Leihia seeks a Director of Automation & Data Engineering who can transform complex problems into structured, replicable solutions. This involves a product-oriented approach, a deep understanding of client needs, and a commitment to high standards of quality, performance, and scalability.
- Is fluent English required for the Director Automation & Data Engineering role at Leihia?
- Yes, fluent English is a mandatory requirement for the Director Automation & Data Engineering position at Leihia. All interviews for this role will be conducted in English.