VAUXHALL - Process and Quality Engineer Apprentice

Macy's

Vacancy Description:

Stellantis is one of the world’s leading automakers, home to 16 Automotive brands including: Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS, Fiat, Fiat Professional, Jeep, Lancia, Maserati, Mopar, Opel, Peugeot, Ram, and Vauxhall. This role is based at the Vauxhall Motors Manufacturing Plant in Luton, UK. There are nearly 1,500 employees based at the site building light commercial vehicles under the Citroën, Peugeot, Fiat, Opel and Vauxhall badges. It is a fast paced, high volume site working across 3 shifts and producing 6,000 vans a week for the end customer. Throughout your apprenticeship you will be working within the Process, Quality and Engineering department. This department is responsible for the following: • Controlling the process in unit by applying different checks which can be done online or in the lab to make sure the quality of the final product meets the expectation • Continuous improvement activities in relation to productivity and quality • Project Management in relation to Engineering changes, capacity uplift and automation. You will be integrated into the team where you will have the opportunity to maximise your capabilities in following the organisations processes and systems in achieving the performance KPI’s and successful project implementation. Your main responsibilities will include but are not limited to: • SPC Monitoring and control (SPC - Statistical Process Control is method of measuring and controlling quality by monitoring the manufacturing process) • Quality improvement • Robot optimisation 3D onsite (CAD - Computer Aided Design) • Lab testing on materials and panels. • Implementing projects from concept to completion • Health & Safety management (Including COSHH - Control of Substances Hazardous to Health)

Vacancy Type:

Remote

Industry:

Production

Roles:

Not Specified

Skills

Skills:

Main Skills: GraphQL, Scrum, REST APIs, PHP, Git, Kubernetes

Other Skills: Spring Boot, REST APIs, Django, Node.js, PostgreSQL, AWS, Azure, React, MongoDB

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