Job Description:
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
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Design and implement smart factory solutions (IIoT, MES, digital twin, automation systems)
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Enable real-time data capture, visualization, and predictive analytics for shopfloor operations
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Lead initiatives for process digitization and system integration across manufacturing lines
Data-Driven Optimization
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Analyze production data to identify efficiency, quality, and cost improvement opportunities
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Build and deploy dashboards, KPIs, and advanced analytics models
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Build and deploy predictive maintenance and AI/ML-based use cases
Automation & Integration
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Develop and optimize PLC/SCADA/MES integrations
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Collaborate with IT/OT teams to ensure seamless connectivity and cybersecurity compliance
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Standardize automation frameworks and scalable architectures
Cross-Functional Collaboration
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Partner with operations, quality, engineering, and IT teams to deliver business outcomes
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Engage with vendors and external partners for solution deployment
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Act as a technical advisor to stakeholders on smart manufacturing strategies
(External) English Qualifications:
What You Bring
✅ Technical Expertise
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Bachelor’s/Master’s degree in Engineering (Mechatronics, Computer Science, Mechanical, Electrical, Electronics, or related)
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3–6 years of experience in manufacturing, automation, or digital transformation
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Strong knowledge of:
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Smart Factory / Industry 4.0 technologies
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PLC, SCADA, MES systems
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Data analytics tools (Tableau, Python, SQL, etc.)
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IIoT platforms and connectivity protocols
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ML – AI development and deployment
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RPA – UI Path and Microsoft Power Automate
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Data engineering
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C# .NET
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Node-red
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React experience is a plus
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AWS experience is a plus
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LabView experience is a plus
