Posted 7 days ago
Digitalization Engineer
AI Summary
Lead Industry 4.0 and Smart Factory initiatives to improve manufacturing productivity and quality. Develop digital solutions including MES, SCADA, IoT, and machine connectivity, and deploy Power BI, Power Apps, and Power Automate tools to enable data-driven operations.
About this role
Working at Freudenberg: We will wow your world!
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.
Qualifications:
- 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.
The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.
Freudenberg-NOK General PartnershipSkills
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