Production Engineer in the VAN Assembly Production Team

Daimler AG; Jawor; On-site; PLN 90,000 - 150,000; Full time

Job summary

Daimler AG in Jawor sucht einen Production Engineer, der die Vorbereitung, Umsetzung, Stabilisierung und kontinuierliche Verbesserung von Produktionsprozessen in der VAN-Montage verantwortet. Ziel ist sichere, hochwertige und effiziente Abläufe sowie die umfassende Vorbereitung des Linien-Ramp-ups.

Sie arbeiten eng mit Produktion, Qualität, Instandhaltung, Logistik, Engineering und IT zusammen und setzen digitale Tools sowie Datenanalysen ein, um Probleme zu lösen und Verbesserungen

Qualifications

• Berufserfahrung in der Produktion, ideal automotive Umfeld.
• Know-how in Aufbau, Implementierung und Optimierung von Produktionsprozessen.
• Erfahrung in bereichsübergreifender Zusammenarbeit und Projektarbeit.

Responsibilities

• Mitwirkung an Vorbereitungen, Launch und Ramp-up neuer Produktionsprozesse und -linien.
• Entwicklung und Weiterentwicklung von Montageprozesskonzepten unter Sicherheits-, Qualitäts- und Kostenaspekten.
• Mitwirkung beim Aufbau, der Inbetriebnahme und Optimierung von Maschinen, Anlagen und Einrichtungen.
• Sicherstellung der Prozessstabilität und Unterstützung der Produktion bei technischen, Qualitäts- und organisatorischen Fragestellungen.
• Analyse der End-to-End-Prozesse und Ermittlung von Abhängigkeiten zwischen Prozessen, Ausrüstung, Materialien, Systemen und Daten.
• Ursachenanalyse und Umsetzung korrigierender und vorbeugender Maßnahmen.
• Koordination von technischen und prozessualen Änderungen und zugehörigen Aktivitäten.

Skills

Produktionserfahrung

Datenanalyse

Ursachenanalyse

Lean Manufacturing

Sprachkenntnisse

Education

Technischer Abschluss

Tools

MS Office

Excel

AI-Tools

Job description

Aufgaben

As a Production Engineer, you will be responsible for the preparation, implementation, stabilization, and continuous improvement of production processes within the VAN assembly area.

Your role will focus on ensuring safe, high-quality, and efficient production processes, resolving technical and process-related issues, and comprehensively preparing the assembly line ramp-up. You will collaborate with Production, Quality, Maintenance, Logistics, Engineering, and IT, combining technical expertise with data analysis and modern digital tools.

Key Responsibilities

• Participate in projects related to the preparation, launch, and ramp-up of new production processes and production lines.
• Create, implement, and further develop assembly process concepts, taking into account safety, quality, costs, deadlines, and planned production volumes.
• Participate in the construction, commissioning, acceptance, and optimization of production machinery, equipment, and installations.
• Ensure the stability of production processes and provide ongoing support to Production in resolving technical, quality-related, and organizational issues.
• Analyze end-to-end production processes and identify dependencies between processes, equipment, materials, systems, and data.
• Identify the root causes of problems and implement and monitor corrective and preventive actions.
• Manage technical and process changes and coordinate the related activities.
• Analyze and optimize cycle times, ergonomics, material flow, equipment utilization, and workplace organization.
• Coordinate activities related to process quality, complaints, and risks concerning production processes and components.
• Implement and continuously improve production methods, standards, and procedures.
• Define requirements for machinery, equipment, systems, and solutions supporting production.
• Analyze production data and use the results to assess process stability and implement improvements.
• Collaborate with other departments.
• Manage project tasks and coordinate their implementation in accordance with the agreed scope, schedule, and standards.
• Prepare process documentation, instructions, analyses, and reports.
• Conduct training for production employees and other target groups covering new processes, standards, and working methods.
• Use digital tools and AI solutions for data analysis, documentation preparation, identification of potential improvements, and enhancement of daily work efficiency.
• Participate in continuous improvement activities in accordance with Lean Manufacturing principles.

Qualifikationen

• University degree in a technical field, preferably mechanical engineering, electrical engineering, automation, mechatronics, production engineering, or a related discipline.
• Three to five years of relevant professional experience required, with a strong preference for experience in the automotive industry, particularly in the assembly area.
• Experience in the preparation, implementation, or optimization of production processes.
• Experience in cross-functional collaboration and the execution of project-related tasks.
• Good knowledge of MS Office, particularly Excel, PowerPoint, and Outlook.
• Knowledge of digital tools supporting data analysis, task management, and documentation creation.
• Openness to using AI-based tools in daily engineering work.
• Communicative knowledge of English or German.
• Willingness to travel for business purposes.

Knowledge and Skills

• Very good knowledge of production processes and the principles of workstation and assembly line organization.
• Ability to analyze problems and conduct root cause analysis.
• Knowledge of problem-solving and quality management methods, such as 5 Why, Ishikawa, FMEA, 8D, or PDCA.
• Systems thinking and the ability to connect the areas of process, product, equipment, quality, systems, and data.
• Ability to create and implement technical and process concepts.
• Ability to analyze production data and draw practical conclusions.
• Ability to define technical and business requirements and translate them into specific solutions.
• Knowledge of Lean Manufacturing and continuous improvement principles.
• Ability to work in a structured, independent, and result-oriented manner.
• Very good communication skills and the ability to collaborate within interdisciplinary teams.
• Proactivity, flexibility, and a strong focus on effective problem-solving.
• Willingness to develop digital competencies and use AI consciously and responsibly.
• Ability to share knowledge and conduct training for different target groups.