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 moreKey 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
