Digitalization Engineer

Freudenberg Group • Findlay, OH

7d

About The Position

This role focuses on leading Industry 4.0 and Smart Factory initiatives to enhance productivity, quality, process visibility, and operational performance within manufacturing operations. The engineer will develop and implement digital manufacturing solutions, create data-driven decision-making tools, and leverage emerging technologies to solve challenges. The position requires collaboration with various departments and acting as a technical expert to drive technology adoption.

Requirements

• Bachelor's degree in Engineering, Computer Science, Automation, Mechatronics, Industrial Technology, or a related technical field.
• 3+ years of experience in manufacturing engineering, automation, digitalization, industrial technology, or Industry 4.0 environments.
• Experience with manufacturing systems such as PLCs, MES, SCADA, machine connectivity, industrial networks, or manufacturing data acquisition platforms.
• Knowledge of digitalization tools such as Ignition, Power BI, Power Apps, Power Automate, Grafana, or similar technologies.
• Experience working with SQL, databases, APIs, scripting, programming, or industrial communication protocols.
• Strong analytical and problem-solving skills with the ability to translate manufacturing data into actionable business improvements.
• Proven ability to lead projects, collaborate across functions, and communicate effectively with both technical and non-technical stakeholders.

Responsibilities

• Lead Industry 4.0 and Smart Factory initiatives that improve productivity, quality, process visibility, and operational performance.
• Develop and implement digital manufacturing solutions including MES, SCADA, machine connectivity, IoT, and manufacturing data systems.
• Create dashboards, KPIs, and analytics tools that enable data-driven decision making across manufacturing operations.
• Design and deploy Microsoft Power BI, Power Apps, and Power Automate solutions that streamline processes and increase efficiency.
• Identify and implement opportunities for automation, machine vision, artificial intelligence, and emerging technologies to solve manufacturing challenges.
• Partner with Engineering, Operations, Quality, IT, and global teams to successfully execute digitalization projects from concept through implementation.
• Serve as a technical expert and change agent, helping drive adoption of new technologies and best practices across the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level