WHO ARE YOU?
You are an engineer specialized in computer engineering, electronics, industrial IT, automation, software engineering, or an equivalent discipline.
You bring a solid background with at least 3 years of experience in an infrastructure department.
You stand out for your:
- Meticulous attention to detail – nothing escapes your careful review
- Positive mindset, with the ability to energize and inspire your colleagues
- Exceptional organizational skills – you excel at managing to-do lists and priorities
- Adaptability to effectively respond to evolving user needs
- Proactive approach and creativity in devising both technical and organizational solutions
- Strong collaborative skills for cross-functional teamwork in dynamic environments
Through your experience, you have developed your knowledge in:
- Industrial digital technologies (networking, data analytics, computing)
- Deployment of digital solutions
- Practice of the Agile methodology
- Industry tools and processes (ERP, MRP, MES, PLM)
WHAT WE CAN ACCOMPLISH TOGETHER
As a key member of the team reporting to the Lean and Performance Manager, you will collaborate across various departments (including Methods, Industrialization, Production, Components, Mechanical Design, Electrical Design, and Technology) driving enhancements to existing indicators and dashboards, as well as deploying new data solutions originating from industrial departments.
Your key responsibilities will include:
- IoT Implementation and Integration: Lead or support the deployment and integration of IoT devices and sensor networks within production and industrial environments, ensuring seamless data flow into analytics platforms
- Industry 4.0 Transformation: Collaborate closely on digital transformation initiatives to leverage IoT, automation, and data analytics to optimize manufacturing and industrial processes
- Data Preparation: Design and develop data preparation workflows to extract critical data and optimize visualization performance
- Data Sourcing: Design and build robust data ingestion pipelines, transferring data from multiple sources to diverse consumption environments such as relational databases, distributed platforms like Elastic Search, object storage, and streaming topics