Directeur Automation & data engineering H/F
Leihia · Saint-Quentin-en-Yvelines, Île-de-France, France
- On site
- Full-time
- $150,000 / year
- Saint-Quentin-en-Yvelines, 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 technical team.
- Ensure data quality and regulatory compliance.
About the role
Director Automation & Data Engineering (H/F) - 100% Hybrid
Your Role
As the Director of Automation & Data Engineering, you will be responsible for a key technological pillar of the platform. Your mission is to design internal products that enable the entire ecosystem of our client to function, improve, and scale.
You will operate at the intersection of data, automation, and complex client challenges.
Your Missions
You will structure, lead, and evolve a key area through three main axes:
1- Build Data & Automation Foundations
- Design and develop 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
- Serve 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 team specialized 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 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
You have solid experience in engineering with a strong focus on data and backend. You have experience managing technical teams and know how to structure a growing environment. You master data architectures, ETL pipelines, and cloud environments. You are comfortable with Python, SQL, and API design. You understand system integration challenges and have experience with complex environments. You can interact with diverse stakeholders, both technical and business. You can think strategically 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, 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
Director Automation & Data Engineering, Data Engineering, Automation, Data Pipelines, ETL, Data Modeling, APIs, Python, SQL, AWS, Cloud Architecture, Team Leadership, Technical Strategy, SaaS, Regulatory Compliance
Skills & topics
- Director Automation & Data Engineering
- Data Engineering
- Automation
- Data Pipelines
- ETL
- Data Modeling
- APIs
- Python
- SQL
- AWS
- Cloud Architecture
- Team Leadership
- Technical Strategy
- SaaS
- Regulatory Compliance
- Bioinformatics
- HL7/FHIR
- LIMS
- Airflow
- N8N
How to get hired
- Tailor your resume: Highlight experience in data engineering, automation, and team leadership.
- Showcase technical skills: Emphasize proficiency in Python, SQL, ETL, AWS, and API design.
- Demonstrate leadership: Provide examples of structuring teams and delivering complex projects.
- Prepare for interviews: Be ready to discuss problem-solving and product-oriented solutions.
- Highlight relevant experience: Mention SaaS, regulated environments, or health/bioinformatics if applicable.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Director Automation & Data Engineering role at Leihia?
- The Director of Automation & Data Engineering role at Leihia focuses on designing and developing internal products that form the technological backbone of their platform. This involves structuring data pipelines, building automation capabilities, and managing complex client integrations, all while leading a specialized technical team.
- What technical skills are most important for the Director Automation & Data Engineering position?
- Key technical skills for this role include strong experience with Python and SQL, data pipeline and ETL development, data modeling, API design (REST, SDK), and cloud environments like AWS. Familiarity with orchestration tools like Airflow and automation tools like N8N is also crucial. Experience with integrations like LIMS, HL7/FHIR, and infrastructure like Docker/Kubernetes is highly valued.
- Does Leihia require prior experience in specific industries for this role?
- While not strictly mandatory, Leihia highly values candidates with experience in SaaS B2B or regulated environments. A background or interest in health or bioinformatics can also be a significant advantage, though strong engineering and leadership skills are the primary focus.
- What are the main responsibilities regarding client-facing projects for the Director Automation & Data Engineering?
- This role involves being a technical lead on complex client integration projects. Responsibilities include supporting sales in pre-sales, designing custom solutions for challenging environments (LIMS, HL7/FHIR, legacy systems), overseeing technical implementation, and standardizing successful project solutions into platform features.
- How does the company approach team leadership and development in this role?
- The Director will lead a specialized team in data, bioinformatics, and automation. This includes recruitment, professional development, and performance management. The role also involves organizing team production between product development and client support, and establishing technical standards and reliable delivery processes.
- What is the expected work arrangement for the Director Automation & Data Engineering role?
- The role is advertised as 100% hybrid, indicating a flexible work arrangement that likely combines remote work with some on-site presence for team collaboration or important meetings.