Automotive PFMEA Engineer – Trim & Final Assembly

Automotive PFMEA Engineer – Trim & Final Assembly

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Expleo

At a Glance

  • Tasks: Develop and certify PFMEA plans for Trim and Final Assembly in automotive manufacturing.
  • Company: Join Expleo, a leader in innovative engineering solutions.
  • Benefits: Competitive salary, career development opportunities, and a dynamic work environment.
  • Other info: Hands-on role with opportunities to work on cutting-edge automotive projects.
  • Why this job: Make a real impact in the automotive industry with your engineering expertise.
  • Qualifications: Degree in engineering with strong automotive experience and risk identification skills.

The predicted salary is between 40000 - 50000 Β£ per year.

Expleo is seeking a hands-on engineering specialist with real-world expertise in Process Design and Layout within an Automotive manufacturing environment.

The role focuses on certation and development of PFMEA plans to support Trim and Final Assembly for a major UK OEM.

You will work on PFMEA (2016 standard), PFD, P-Diagram, DRBFM and related control plans.

Candidates should be degree-educated engineers with strong automotive experience and the ability to identify risks, create design reviews,

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Automotive PFMEA Engineer – Trim & Final Assembly employer: Expleo

Expleo is an exceptional employer, offering a collaborative work environment in Preston where innovation thrives. As an Automotive Systems Engineer, you'll benefit from opportunities for professional growth and skill enhancement while working on cutting-edge projects in Electrical and Embedded Systems. The company prioritises ISO26262 compliance and technical leadership, ensuring that you are at the forefront of automotive advancements.

Expleo

Contact Details:

Expleo Recruitment Team

We think you need these skills to ace Automotive PFMEA Engineer – Trim & Final Assembly

Process Design
PFMEA (2016 standard)
PFD
P-Diagram
DRBFM
Control Plans
Risk Identification