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SHIFT ENGINEER

 

Job Reference Number

14565450

Client ID:

RI/AM12402

Posted On:

Feb 3 2012

Location:

DUBLIN SOUTH

Job Type:

Permanent

Salary:

NEGOTIABLE

Shift Engineer - South Dublin.

In this role you will act as a member of the engineering group that provides engineering support within a high volume, fully automated manufacturing environment. The Shift Engineer is responsible for and involved in troubleshooting, maintenance and continuous improvement of the production equipment.

The role itself is days based, working 4 days on (7am to 7pm), then 4 off, after which the pattern repeats itself.

RESPONSIBILITIES:

Manage a team of Shift Technicians across 2 shifts on a 12-hour 4-day cycle

Be an active member of the shift team to resolve EHS, Quality and Operational issues within the shift

Manage a comprehensive Preventive and Corrective Maintenance programme in assembly and corrective maintenance in all other operational areas of the site.

Working with the Process Engineers, identify areas of problems/opportunities in existing equipment and detail possible improvements following up with production, tool room and outside resources as appropriate.

Manage small improvement projects as required.

Participate in Continuous Improvement initiatives as appropriate – Kaizen, Lean.

May be required to act as back-up user to the site computerised calibration tracking system.

Work with immediate manager to review machine spares and ensure that necessary spares and stock levels are set up in stores

Identify development and training needs of direct reports and co-ordinate with immediate manager to prepare a comprehensive plan.


EDUCATIONAL REQUIREMENTS:

Degree in Engineering, ideally Electrical, Mechanical or Production Engineering.

Preference will be given to candidates with Six Sigma Green or Black Belt qualifications.

RELEVANT EXPERIENCE:

At least 5 years experience in a similar role

Strong people management abilities

Must be able to work and communicate in a cross-functional environment

Experience in applying a scientific approach to problem solving, blending analytical and experimental skills to maximize productivity and yields

Excellent communication skills

Familiarity with working in a regulated environment

Previous experience in the use of Six Sigma statistical techniques would be an advantage

Knowledge of PLCs, Vision Systems, High Speed Assembly and Packaging operation would be advantageous.