Digital Engineer - Smart Factory Systems

About the role

The Digital Engineer leads the implementation, support, enhancement and digital transformation of Smart Factory Systems (SFS) across manufacturing operations. The role drives data-driven decisions through advanced analytics, machine learning and AI, and integrates manufacturing systems with ERP, MES and OT environments. It also leads cross-functional teams on digital transformation projects that improve efficiency, productivity, traceability and manufacturing performance.

Key responsibilities

• Lead Smart Factory Systems and digital transformation initiatives to improve productivity, quality, traceability and operational efficiency.
• Manage data analytics, machine learning and AI projects that deliver business value.
• Work with production, quality, supply chain, OT and IT teams to implement digital manufacturing solutions.
• Integrate Smart Factory Systems, SAP, MES, automation systems and enterprise platforms so data flows seamlessly.
• Analyze manufacturing and business data with Python, SQL and advanced analytics to find improvement opportunities.
• Plan and run projects, covering scope, timelines, budgets, risks and stakeholder engagement.
• Manage and mentor engineers, analysts and external partners; develop KPIs, dashboards and reporting frameworks.
• Ensure compliance with company standards, cybersecurity, data governance and project management best practices.
• Keep up with AI, machine learning, advanced analytics, Industry 4.0 and smart manufacturing.

Required profile

• Bachelor's degree in Computer Engineering, Software Engineering or a related field.
• 4-6 years of experience in IT, software development, digital transformation or similar roles, preferably in manufacturing.
• Experience developing custom software and implementing new digital systems.
• Proven experience in AI, machine learning and data analytics projects.
• Strong project management and leadership experience, including mentoring and working with local and regional teams.
• Fluent written and spoken English.

Required skills

• Hands-on Python and SQL
• Machine learning algorithms and data analytics
• Project management and stakeholder management

What we offer

• Health and preventive care programmes under Henkel Global wellbeing standards.
• Gender-neutral parental leave of at least 8 weeks.
• Employee Share Plan with voluntary investment and company-matching shares.