Are you passionate about transforming manufacturing through digital innovation As a
Smart Factory Engineer 2, you will play a pivotal role in driving Industry 4.0 adoption, enabling data-driven manufacturing, and shaping the future of smart operations.
This role blends
automation, analytics, AI, and advanced manufacturing technologies to improve efficiency, quality, and agility. You will work cross-functionally to deliver scalable digital solutions and accelerate our journey toward a truly connected factory.
What You'll Do
Drive Smart Factory Initiatives
- Design and implement smart factory solutions (IIoT, MES, digital twin, automation systems)
- Enable real-time data capture, visualization, and predictive analytics for shopfloor operations
- Lead initiatives for process digitization and system integration across manufacturing lines
Data-Driven Optimization
- Analyze production data to identify efficiency, quality, and cost improvement opportunities
- Build and deploy dashboards, KPIs, and advanced analytics models
- Build and deploy predictive maintenance and AI/ML-based use cases
Automation & Integration
- Develop and optimize PLC/SCADA/MES integrations
- Collaborate with IT/OT teams to ensure seamless connectivity and cybersecurity compliance
- Standardize automation frameworks and scalable architectures
Cross-Functional Collaboration
- Partner with operations, quality, engineering, and IT teams to deliver business outcomes
- Engage with vendors and external partners for solution deployment
- Act as a technical advisor to stakeholders on smart manufacturing strategies
What You Bring
✅ Technical Expertise
- Bachelor's/Master's degree in Engineering (Mechatronics, Computer Science, Mechanical, Electrical, Electronics, or related)
- 3–6 years of experience in manufacturing, automation, or digital transformation
- Strong knowledge of:
- Smart Factory / Industry 4.0 technologies
- PLC, SCADA, MES systems
- Data analytics tools (Tableau, Python, SQL, etc.)
- IIoT platforms and connectivity protocols
- ML – AI development and deployment
- RPA – UI Path and Microsoft Power Automate
- Data engineering
- C# .NET
- Node-red
- React experience is a plus
- AWS experience is a plus
- LabView experience is a plus
