Digital Engineer (Gebkim Plant)

Henkel; Gebze; On-site; TRY 420,000 - 620,000; Full time

Benefits offered by this job

Wellbeing programs

Parental leave

Employee Share Plan

Job summary

Henkel in Turkey seeks a Digital Engineer to lead Smart Factory Systems (SFS) implementation and digital transformation across manufacturing operations. You will drive data-driven decision making using Python, SQL, AI initiatives, and integrate with ERP, MES, and OT environments.

You will manage a cross-functional team, define KPIs and dashboards, ensure governance and cybersecurity standards, and mentor engineers and analysts to deliver innovative digital solutions that improve productivity,

Qualifications

• Bachelor's degree in Computer Engineering, Software Engineering, or related field.
• 4–6 years in IT, software development or digital transformation within manufacturing.
• Experience in AI, ML, and data analytics projects.
• Proficiency in Python and SQL.
• Strong project management and cross-functional collaboration.
• Fluent English (written and spoken).
• Experience with SAP, MES, and ERP integration is a plus.

Responsibilities

• Lead Smart Factory Systems (SFS) and digital transformation initiatives across manufacturing operations to improve productivity, quality, traceability, and operational efficiency.
• Manage the delivery of data analytics, machine learning, and AI projects that drive business value and support data-driven decision making.
• Collaborate with production, quality, supply chain, OT, and IT teams to identify opportunities and implement digital manufacturing solutions.
• Drive the integration of Smart Factory Systems, SAP, MES, automation systems, and enterprise platforms to enable seamless data flow and process automation.
• Analyze manufacturing and business data using Python, SQL, and advanced analytics techniques to generate actionable insights and continuous improvement opportunities.
• Lead project planning and execution, including scope, timelines, budgets, resources, risk management, and stakeholder engagement.
• Manage and mentor a team of engineers, analysts, and external partners, fostering a culture of innovation, collaboration, and technical excellence.
• Develop and monitor KPIs, dashboards, and reporting frameworks to measure the effectiveness and business impact of digital solutions.
• Ensure compliance with company standards, cybersecurity requirements, data governance policies, and project management best practices.
• Stay current with emerging technologies in AI, machine learning, advanced analytics, Industry 4.0, and smart manufacturing, and translate them into practical business applications.

Skills

Python

SQL

AI/ML

Data analytics

Project management

Leadership

English communication

Education

Bachelor's degree in Computer Engineering

Tools

SAP

MES

ERP systems

Job description

About this Position

DigitalEngineer is responsible for leading the implementation, support, enhancement,and digital transformation of Smart Factory Systems (SFS) across manufacturingoperations. The role drives data-driven decision making through advancedanalytics, machine learning, AI initiatives, and integration of manufacturingsystems with ERP, MES, and OT environments. The position leads cross-functionalteams and manages digital transformation projects that improve operationalefficiency, productivity, traceability, and manufacturing performance.

What you´ll do

• Lead Smart Factory Systems (SFS) and digitaltransformation initiatives across manufacturing operations to improveproductivity, quality, traceability, and operational efficiency.
• Manage the delivery of data analytics, machinelearning, and AI projects that drive business value and supportdata-driven decision making.
• Collaborate with production, quality, supply chain, OT,and IT teams to identify opportunities and implement digital manufacturingsolutions.
• Drive the integration of Smart Factory Systems,SAP, MES, automation systems, and enterprise platforms to enable seamless dataflow and process automation
• Analyze manufacturing and business data using Python,SQL, and advanced analytics techniques to generate actionable insights andcontinuous improvement opportunities.
• Lead project planning and execution, including scope,timelines, budgets, resources, risk management, and stakeholderengagement.
• Manage and mentor a team of engineers, analysts, andexternal partners, fostering a culture of innovation, collaboration, andtechnical excellence.
• Develop and monitor KPIs, dashboards, and reportingframeworks to measure the effectiveness and business impact of digitalsolutions.
• Ensure compliance with company standards, cybersecurityrequirements, data governance policies, and project management bestpractices.
• Stay current with emerging technologies in AI, machinelearning, advanced analytics, Industry 4.0, and smart manufacturing, andtranslate them into practical business applications.

What makes you a good fit

• Bachelor’s degree in Computer Engineering, SoftwareEngineering, or related disciplines.
• 4-6 years of experience in IT, software development,digital transformation, or related technology roles, preferably within amanufacturing environment.
• Experience in software development, custom softwaresolutions, and implementation of new digital systems.
• Proven experience in AI, Machine Learning, and dataanalytics projects, including knowledge of Machine Learning algorithms andtheir practical applications.
• Hands-on experience with Python and SQL.
• Strong project management experience, includingend-to-end project delivery, cross-functional coordination, andstakeholder management.
• Leadership experience and ability to collaborateeffectively with local and regional teams.
• Strong analytical and problem-solving skills withfluent written and spoken English.

Some perks of joining Henkel

• Global wellbeing standards with health and preventive care programs
• Gender-neutral parental leave for a minimum of 8 weeks
• Employee Share Plan with voluntary investment and Henkel matching shares

At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.