Manufacturing Engineer

Miejsce pracy: Balice, małopolskie

(ref. ME 2)

Responsibilities

• Plan, schedule and prioritize manufacturing engineering projects according to program and customer timing.
• Define manufacturing process and equipment concepts to meet quality, safety, capacity and cost requirements.
• Lead equipment specification, sourcing, purchase, installation and commissioning.

Develop and implement new manufacturing technologies, automation and process improvements.

• Apply Lean Manufacturing principles to optimize process flow, cycle time, capacity and waste.
• Develop and maintain manufacturing documentation, including Process Flow, PFMEA, Control Plan and Standard Work.
• Create and maintain the Bill of Process (BOP) and manufacturing process standards.
• Support production ramp-up and ensure required quality, capacity and process performance.
• Analyze manufacturing data to identify losses, bottlenecks and improvement opportunities.
• Cooperate with cross-functional and global teams, equipment suppliers and plant Manufacturing Engineering.

Qualifications:

Required (R)

• Engineering Degree, preferably in Mechanical, Manufacturing,
• Fluent in English; additional languages are an asset.
• Experience with high-volume manual and automated assembly processes, preferably in automotive manufacturing.
• Understanding of manufacturing processes, machine design and industrial automation.
• Experience with equipment implementation, commissioning and production ramp-up.
• Knowledge of PFMEA, SPC, MSA, Control Plan and process capability.
• Strong problem-solving and root-cause analysis skills.
• Good knowledge of Lean Manufacturing and continuous improvement principles.
• Strong analytical skills and ability to work with manufacturing data.
• Good MS Office skills, especially Excel and PowerPoint.
• Willingness and availability to travel internationally, including Mexico (up to 30%).

Preferred (P)

• PLC programming and industrial automation experience.
• Robot programming or robotic systems integration.
• Experience using AI-based tools to support engineering analysis, problem solving and process improvement.