Electro-Mechanical Engineer: Production & Automation

Saputo Inc.; Nuneaton; On-site; GBP 57,371 - 60,000; Full time

Benefits offered by this job

Bonus scheme

Progression opportunities UK/overseas

Enhanced pension contributions

Health cash plan

Wellbeing app Thrive 24/7

Long service recognition

Job summary

Saputo Nuneaton is recruiting an Electro-Mechanical Engineer to join our expanding plant on a 4 on / 4 off shift. You’ll maintain and improve automated packaging lines, troubleshoot mechanical and electrical faults, and support new line deployments alongside a multi-skilled team.

Experience with TPM, CMMS and lean manufacturing will help you optimise performance and reduce downtime across two production areas, using fault-finding methods and data to drive improvements.

Qualifications

• Multi-skilled engineer with hands-on reactive experience in production/manufacturing.
• Experience with fault-finding on electrical and mechanical systems.
• Familiarity with lean manufacturing tools and TPM is desirable.
• CMMS experience and ability to interpret plant data to drive improvements.
• PLC fault-finding experience is a bonus.

Responsibilities

• Maintain multiple automated production lines and packaging equipment.
• Optmise line performance to meet KPIs for reliability and efficiency.
• Capture and record plant performance data for continuous improvement.
• Perform maintenance to support a predictive approach and prevent failures.

Skills

Multi-skilled engineer

Hands-on

Fault-finding

Lean manufacturing

TPM experience

CMMS

Data interpretation

Education

HNC/HND in Engineering

Tools

CMMS

PLCs (fault-finding)

Job description

Saputo Nuneaton is recruiting an Electro-Mechanical Engineer to join our expanding plant on a 4 on / 4 off shift. You’ll maintain and improve automated packaging lines, troubleshoot mechanical and electrical faults, and support new line deployments alongside a multi-skilled team.

Experience with TPM, CMMS and lean manufacturing will help you optimise performance and reduce downtime across two production areas, using fault-finding methods and data to drive improvements.