Digital Engineer (Gebkim Plant)

About this Position Digital Engineer is responsible for leading the implementation, support, enhancement, and digital transformation of Smart Factory Systems (SFS) across manufacturing operations. The role drives data-driven decision making through advanced analytics, machine learning, AI initiatives, and integration of manufacturing systems with ERP, MES, and OT environments. The position leads cross-functional teams and manages digital transformation projects that improve operational efficiency, productivity, traceability, and manufacturing performance. What you´ll do 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.