Go ahead company with modern technology looking for someone young and vigorous that can grow and develop with the company.

Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.

What you'll do at work

• Learning programming and helping implement new equipment
• Working alongside skilled engineers
• Getting involved in working with a range of clients

Where you'll work

8 DOMAN ROAD
CAMBERLEY
GU15 3DF

Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.

Training provider

FARNBOROUGH COLLEGE OF TECHNOLOGY

Training course

Engineering manufacturing technician (level 4)

What you'll learn

Course contents

• Read and extract relevant engineering and manufacturing related data and information (such as workplans or project plans, schedules, drawings, specifications, production data, quality reports, costing data, statistical information) drawing accurate conclusions and making informed decisions.
• Use project management tools, such as Strengths, Weaknesses, Opportunities, Threats (SWOT), stakeholder matrices, risk mapping, radar chart and summary risk profiles.
• Use problem solving tools such as Root Cause Analysis (RCA) Process Failure Modes Effects Analysis (PFMEA), Fishbone, Practical Problem Solving (PPS) and Advanced Product Quality Planning (APQP).
• Analyse and interpret data and information in order to generate manufacturing engineering documentation such as Parts Per Million (PPM) quality adherence, cost analysis and test data.
• Communicate using the appropriate method for the audience such as, formal and informal presentations, written reports, verbal, electronic, social media and incorporating relevant and appropriate data or metrics.
• Use the approved process and quality compliance procedure to create or amend engineering or manufacturing documentation.
• Use lean tools and techniques, such as Six Sigma, 8 Wastes, Workplace organisation such as 5S's (sort, set in order, shine, standardise and sustain), Kaizen and Poka-Yoke (Error proofing).
• Apply documentation control processes and procedures such as format, location, access, authorisation.
• Use financial planning, recording and review processes and documentation such as departmental budgets, estimating, cost control, cost forecasting, and investment appraisal.
• Use computer based software systems or packages such as Computer Aided Design (CAD), Data Analytics and Databases.
• Read and extract relevant engineering and manufacturing related data and information (such as workplans or project plans, schedules, drawings, specifications, production data, quality reports, costing data, statistical information) drawing accurate conclusions and making informed decisions.
• Use project management tools, such as Strengths, Weaknesses, Opportunities, Threats (SWOT), stakeholder matrices, risk mapping, radar chart and summary risk profiles.
• Use problem solving tools such as Root Cause Analysis (RCA) Process Failure Modes Effects Analysis (PFMEA), Fishbone, Practical Problem Solving (PPS) and Advanced Product Quality Planning (APQP).
• Analyse and interpret data and information in order to generate manufacturing engineering documentation such as Parts Per Million (PPM) quality adherence, cost analysis and test data.
• Communicate using the appropriate method for the audience such as, formal and informal presentations, written reports, verbal, electronic, social media and incorporating relevant and appropriate data or metrics.
• Use the approved process and quality compliance procedure to create or amend engineering or manufacturing documentation.
• Use lean tools and techniques, such as Six Sigma, 8 Wastes, Workplace organisation such as 5S's (sort, set in order, shine, standardise and sustain), Kaizen and Poka-Yoke (Error proofing).
• Apply documentation control processes and procedures such as format, location, access, authorisation.
• Use financial planning, recording and review processes and documentation such as departmental budgets, estimating, cost control, cost forecasting, and investment appraisal.
• Use computer based software systems or packages such as Computer Aided Design (CAD), Data Analytics and Databases.