Production Engineer in the VAN Assembly Production Team

Mercedes-Benz Manufacturing Poland sp. z o. o.

Mercedes-Benz Manufacturing Poland sp. z o. o., Jawor, Poland (Hybrid)

Job Type Full-time

Experience Mid-level

Posted 4 weeks 1 day ago

Hybrid Mid-level Level

Tasks

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.

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 support 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 root causes and implement and monitor corrective and preventive actions.
Manage technical and process changes and coordinate 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 production-supporting solutions.
Analyze production data to assess process stability and implement improvements.
Collaborate with other departments and manage project tasks in accordance with agreed scope, schedules, and standards.
Prepare process documentation, instructions, analyses, and reports.
Conduct training covering new processes, standards, and working methods.
Use digital tools and AI solutions for data analysis, documentation, identification of improvements, and daily work efficiency.
Participate in continuous improvement activities based on Lean Manufacturing principles.

Qualifications

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, preferably in the automotive industry and assembly.
Experience preparing, implementing, or optimizing production processes.
Experience with cross-functional collaboration and project-related tasks.
Good knowledge of MS Office, particularly Excel, PowerPoint, and Outlook.
Knowledge of digital tools for data analysis, task management, and documentation.
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 workstation and assembly line organization.
Problem analysis and root cause analysis skills.
Knowledge of 5 Why, Ishikawa, FMEA, 8D, or PDCA.
Systems thinking across 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.
Knowledge of Lean Manufacturing and continuous improvement principles.
Structured, independent, and result-oriented working style.
Strong communication and interdisciplinary collaboration skills.
Proactivity, flexibility, and effective problem-solving focus.
Willingness to develop digital competencies and use AI responsibly.
Ability to share knowledge and conduct training.