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Technical Engineer Apprentice (Level 4 Engineering Manufacturing Technician)

Leicester

£17.9k/yr

Posted 9 days ago

This role is no longer accepting applications.

Early applicant

On-site

Employee

Apprenticeship

A fantastic opportunity for a technically minded individual to support manufacturing areas for engineering investigations, learn how to actively assess areas and improve to achieve a robust standardised process/capability, with the opportunity to rotate between the Lab, Quality, Inspection & Engineering departments to increase your skill set.

Requirements

  • GCSE in: 5 GCSE's including Maths, English and Science (grade C / 4 or equivalent)
  • Other in: BTEC Engineering or A-level Maths and Physics (grade Pass/Achieved)
  • Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
  • Communication skills
  • Attention to detail
  • Organisation skills
  • Problem solving skills
  • Analytical skills
  • Logical
  • Team working

Responsibilities

  • Learn how to complete the root cause and problem-solving to improve process
  • Work with the team to investigate existing repeating issues and undertake continuous improvement projects
  • To learn how to support manufacturing areas with problem-solving to ensure customer orders remain mobile, and the areas meet the daily performance targets for output, reduced scrap and rework
  • Define robust standards and processes for assessment of measurement systems and manufacturing asset capability
  • Practical application of MSA and asset capability for engineering planning in-line with Zero defect and APQP requirements
  • Understand how to investigate and make engineering additions to the process as necessary to ensure customer compliance and throughput of orders within manufacturing
  • Support manufacturing areas with problem-solving to ensure customer orders remain mobile, and the areas meet the daily performance targets for output, reduced scrap and rework
  • Working with planning & control engineers, ensure manufacturing readiness for new or existing orders/products with respect to engineering control, training, tools, equipment, drawings, gauging and procedures

Benefits

  • Fantastic starting salaries offered. Salary dependent on age, between £17,902.56 - £25,574.58 per annum
  • 25 Days + 8 Bank Holidays
  • Pension
  • Annual Pay Review
  • Quarterly Cash Bonus
  • Sport & Social Club
  • Discount Codes & more

Application Process

  • The contact for this apprenticeship is: LOUGHBOROUGH COLLEGE Apprenticeship Recruitment Team
  • Email: apprenticeships@loucoll.ac.uk
  • Reference code: VAC2000029017
  • Closes in 20 days (Wednesday 20 May 2026 at 11:59pm)
  • Sign in or create an account

About SPS Technologies

SPS Technologies has been established since 1936, its product offering, and investment strategy is focused on technically sophisticated components and materials that are necessary and vital to key end-user markets such as aerospace, transportation, power generation, racing, farm and construction equipment and general industrial. Quality control programs of all SPS businesses reflect the demanding requirements of SPS' aerospace heritage. All product lines benefit from the culture of quality that has a long history at SPS. Because of this culture and our strong product design capability, many of SPS' products are manufactured for safety-critical applications.

https://www.pccfasteners.com/companies/pcc-fasteners/sps-tj-brooks.html (opens in new tab)

SPS Technologies has various engineering positions that could be attained after successful completion of the apprenticeship, including, Manufacturing Engineers , Manufacture & Control Engineers & Continuous Improvement Engineers

Contact

LOUGHBOROUGH COLLEGE Apprenticeship Recruitment Team apprenticeships@loucoll.ac.uk

Skills

Problem solving

Quality control

Engineering

Manufacturing

Communication

Attention to detail

Organisation

Analytical skills

Team working

Project management

Lean manufacturing

Six Sigma

CAD

Data analytics