Industrial Engineer - Lean Six Sigma for Manufacturing

Abbott; Kilkenny; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Family health insurance

Excellent pension scheme

Life assurance

Career Development

Fantastic new facility

Growing business plus access to many更多

Job summary

Abbott Diabetes Care Kilkenny site seeks an Industrial Engineer to optimize operations, applying Lean Six Sigma to improve lead times, quality and cost. You will develop long-term manufacturing layouts and capability development while embedding continuous improvement across Operations.

The role focuses on capacity planning, data-driven decision making, and cross-functional collaboration to deliver sustainable performance gains within a modern manufacturing environment.

Qualifications

• Bachelor's degree in engineering or science.
• +3 years experience in industrial engineering with Lean Sigma.
• Black Belt qualification.
• Experience with OEE data management and SPC.
• Strong analytical and problem-solving skills.

Responsibilities

• Identify and implement improvements to strategic site operations and processes.
• Lead industrial engineering activities for clean room and equipment expansion programs.
• Apply engineering methods to develop models and presentations on capacity planning.
• Measure and report efficiency data and influence outcomes of analyses.
• Develop manufacturing methods and tools to improve utilization of resources.
• Establish and maintain process standards and capacity books.

Skills

Lean Sigma

OEE measurement

Data Analytics

Project Management

Critical Thinking

Communication

Education

Bachelor's degree in engineering/ science

Black Belt Certification

Job description

Abbott Diabetes Care Kilkenny site seeks an Industrial Engineer to optimize operations, applying Lean Six Sigma to improve lead times, quality and cost. You will develop long-term manufacturing layouts and capability development while embedding continuous improvement across Operations.

The role focuses on capacity planning, data-driven decision making, and cross-functional collaboration to deliver sustainable performance gains within a modern manufacturing environment.