Manufacturing Engineer

European Tech Recruit; Legnano; Hybrid; EUR 50,000 - 70,000; Full time

Job summary

European Tech Recruit is sourcing a Manufacturing Engineer for Legnago, Italy, offering hybrid work. The role focuses on driving shop-floor improvements, lean transformation, and automation across production lines.

You will lead cost, safety, quality, and delivery improvements, while collaborating with R&D on NPI and embracing AI-driven enhancements for smart manufacturing. The ideal candidate has a degree in engineering, 3+ years in automated environments, and strong data analysis skills, with

Qualifications

• Bachelor’s or Master’s degree in Mechatronics, Mechanical, Electronics or Management Engineering.
• 3+ years in manufacturing or process engineering in automated environments.
• Hands-on with automated assembly systems (SCARA/6-axis robotics, pick & place, feeders).
• Exposure to PLC systems is advantageous.
• Strong Lean, 5S, Kaizen, and root-cause analysis skills.
• Proficient in Excel and data analysis.
• Excellent communication and time management in fast-paced settings.
• Fluency in Italian and English (written and spoken).

Responsibilities

• Analyse production processes, resolve technical issues and improve yield while minimising downtime.
• Own manufacturing line performance across safety, quality, delivery and cost.
• Implement lean tools and continuous improvement to reduce waste and optimise flow.
• Lead root-cause analysis for deviations and implement CAPA.
• Maintain technical documentation and update work instructions.
• Support automation programs, capacity expansions, and cost-reduction initiatives.
• Collaborate with R&D on cost estimation and NPI manufacturing process design.
• Explore AI-driven enhancements for shop-floor automation.

Skills

Lean Manufacturing

5S

Kaizen

PLC exposure

Robotics

Excel

Problem solving

Italian & English

Education

Bachelor’s or Master’s in Mechatronics/Mechanical/Electronics/Management Engineering

Tools

SCARA robots

6-axis robots

Pick & place

PLC systems

Job description

Manufacturing Engineer | Automatic assembly processes | Legnago, Italy (Hybrid)

A world-renowned manufacturer shaping solutions for the safe and efficient transfer of electrical energy. Operating across industrial, transportation, and electronics markets, our client designs and manufactures innovative technologies that drive electrification, energy efficiency, and advanced automation globally.

As a Manufacturing Engineer, you will drive shop-floor continuous improvement, lean transformation, and process optimisation across advanced production lines.

Key Responsibilities

• Analyse production processes, resolve technical issues, and improve yield while minimising downtime.


• Own manufacturing line performance across safety, quality, delivery, and cost.


• Implement lean tools and continuous improvement methodologies to eliminate waste and optimise production flow.


• Drive root-cause analysis for production errors/deviations and implement corrective and preventive actions.


• Lead technical documentation, update work instructions, and prepare detailed technical reports.


• Support automation programs, capacity expansion projects, and cost-reduction initiatives.


• Collaborate with R&D and product development teams on cost estimation and NPI (New Product Introduction) manufacturing process design.


• Explore emerging technologies, including AI-driven enhancements and shop-floor automation.

Key Requirements & Qualifications

• Degree (Bachelor’s or Master’s) in Mechatronics, Mechanical, Electronics, Management Engineering, or a related discipline.


• 3+ years of experience in manufacturing or process engineering within an automated industrial environment.


• Hands‑on experience with automated assembly systems (e.g., SCARA or 6-axis robotics, pick & place systems, automatic feeders, pallet lines).


• Exposure to PLC (Programmable Logic Controller) systems is highly advantageous.


• Strong working knowledge of Lean Manufacturing, 5S, Kaizen, and root‑cause analysis methodologies.


• Strong data analysis skills, with proficiency in Microsoft Excel.


• Excellent problem‑solving, time management, and communication skills in a fast‑paced environment.


• Fluency in both Italian and English (written and spoken) is essential.