Maintenance Engineer - Northumberland - Day Shift
Our client, a successful business in the North East, is currently looking for a Maintenance Engineer - Mechanical Bias, to join them on a full-time, permanent basis.
As a Maintenance Engineer, this is a fantastic opportunity to join a progressive environment to ensure the efficient and continuous running of both an existing and newly constructed facility.
About the Company
This leading manufacturer has a strong North East reputation and offers fantastic benefits as part of the package including:

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  Competitive pension
  
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  Private medical
  
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  Discretionary annual bonus
  
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  Plus more!
  

About the Maintenance Engineer Role
As Maintenance Engineer - Mechanical Bias, you will be maintaining and repairing equipment to ensure continued manufacturing, performing all tasks within the ISO (Apply online only) Quality Management, H&S and environmental systems. The role will cover both Mechanical and Electrical maintenance.
Other responsibilities of the Maintenance Engineer will include:

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  Installation of new production equipment.
  
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  Planned and reactive maintenance of production equipment and site facilities.
  
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  Delivering production processes that are appropriate for the manufacturing environment, and that meet manufacturing objectives.
  
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  Conforming to procedures that are compliant to ISO, GMP and all other applicable agency regulations and standards.
  
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  Communicate opportunities to develop most efficient processes.
  
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  Support the Engineering Manager with plant projects as required.
  

About You
You will have previous experience in a similar Maintenance Engineer role with a Mechanical Bias and some knowledge of Electrical engineering, preferably with experience in the Medical Device, Pharmaceutical or Biotechnology environment.
Other requirements include:

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  A strong understanding of machine operation and production processes.
  
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  Thorough knowledge of ISO quality systems, validation principles for manufacturing processes and statutory facility requirements.
  
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  Experience with statistical techniques (e.g., DOE, SPC, Six Sigma problem solving)