Logistics Engineer - Realization

About the role

You will work in an environment built on collaboration, respect, commitment and curiosity, where you can grow, contribute your ideas, and make an impact. Be part of the team that delivers logistics excellence and shapes supply chains globally.

Responsibilities

• Analyze current logistics processes, develop innovative solutions, and implement new technologies to optimize the movement and storage of goods.
• Partner with different departments and stakeholders to identify, implement and achieve operational efficiency.
• Utilize data analytics to identify inefficiencies and opportunities for improvement within the production process.
• Create greenfield solutions or optimize brownfield using data analytics.
• Develop data-driven solutions to optimize operational workflows and material handling systems.
• Analyze current processes and workflows to identify bottlenecks and areas for improvement.
• Develop and document standard operating procedures (SOPs) and best practices.
• Design and optimize material flow strategies to ensure efficient and timely movement of materials.
• Collaborate with procurement, inventory, and production teams to streamline supply chain operations.
• Identify opportunities for automation to enhance productivity and reduce manual labor.
• Evaluate and implement automation technologies, including robotics and automated systems.
• Analyze labor requirements and forecast headcount needs based on production demands.
• Lead and manage cross-functional projects to drive process improvements and operational excellence.
• Develop project plans, timelines, and budgets, and ensure projects are completed on time and within scope.

Qualifications

• Bachelor's degree in Engineering, Industrial Engineering, or a related field with at least 5-7 years of experience.
• Proven experience in data analytics, process improvement, and material flow management.
• Strong knowledge of lean manufacturing principles and continuous improvement methodologies.
• Experience with automation technologies and systems integration.
• Proficient in AutoCAD.
• Proficient in data analysis tools (e.g., Excel, PowerBI,) and process mapping for operational processes.
• Excellent project management skills with the ability to lead cross-functional teams.
• Strong analytical, problem-solving, and decision-making abilities.
• Effective communication and interpersonal skills.
• Familiarity with robotics and advanced automation technologies.
• Master's degree in Engineering, Data Analytics, or a related field preferred.
• Certification in Lean Six Sigma or related continuous improvement methodologies preferred.
• Experience with ERP systems and inventory management software preferred.