Are you experienced in Manufacturing and seeking a fresh challenge? Are you ready to take on a pivotal role in maintaining and enhancing essential production machinery? Do you have a passion for the future of electric vehicles? Join the team at Ford Transmissions Halewood as a Manufacturing Engineer!
Salary: £39,073.33 - £61,116.53 (inclusive of 35% holiday bonus for 33 days per year; 25 vacation and 8 bank holidays)
Hours: Monday to Thursday 7:00-15:30 and Friday 7:00-12:30
Benefits:
* Access to the Employee Development and Assistance Programme (EDAP)
* Discounted Ford vehicles through the Privilege scheme
* Competitive pension scheme and annual salary increases
* Generous holiday allowance of 25 days
* Take advantage of the Cycle to Work Scheme
* Enjoy on-site facilities such as a gym, sauna, steam room, and more
Key Responsibilities:
* Lead and manage major capital projects while ensuring safety, cost control, and on-time delivery, aligned with engineering standards.
* Own and oversee the manufacturing processes for key components and assemblies, driving cost-saving initiatives and efficiency improvements.
* Ensure compliance with standards (GIS, TS16949, ISO14001, ISO18001) and promote environmental responsibility, safety, and a zero-accident culture.
* Collaborate effectively with internal and external teams, including contractors and trade unions, ensuring clear communication and seamless project execution.
* Drive continuous improvement by identifying innovative solutions, applying Lean manufacturing techniques, and promoting a Diversity, Equity, and Inclusion ethos.
Qualifications and Experience:
* Degree in Automotive or Mechanical Engineering with experience in conventional machining processes like turning, drilling, and grinding; experience in gear machining (e.g., hobbing) is a plus.
* Strong knowledge of project management and problem-solving techniques (e.g., 8Ds, 5 Why, Six Sigma), with the ability to handle complex challenges and meet tight deadlines.
* Proficient in Microsoft Office and project management software, with an analytical mindset and a good understanding of data science principles.
* Highly motivated, resilient, with excellent communication and leadership skills to manage teams and inspire collaboration.
* Experience in Lean manufacturing, ergonomics, manual handling, and Statistical Process Control (SPC), with a strong commitment to safety and continuous improvement.
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