Apprentice - Electrical Engineering (Level 4)

SIEMENS PUBLIC LIMITED COMPANY

Hebburn (NE31 1LX)

Closes on Saturday 31 January 2026

Posted on 23 December 2025

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Summary

Siemens Smart Infrastructure intelligently connects energy systems, buildings and industries to adapt and evolve the way we live and work - our goal is to create environments that care. You will be joining the Electrification Automation business within Smart Infrastructure in Hebburn or Manchester.

Wage

£24,455 a year

Check minimum wage rates (opens in new tab)

Training course
Engineering manufacturing technician (level 4)
Hours
Monday to Friday, between 9.00am - 5.00pm (flexible hours).

37 hours a week

Start date

Tuesday 25 August 2026

Duration

3 years

Positions available

2

Work

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

What you'll do at work

  • Assist in designing, building, and testing electrical and automation systems. 
  • Learn to use industry-leading tools and technologies for power distribution and smart grid solutions.
  • Work alongside experienced engineers and technicians to solve complex challenges. 
  • Develop skills in electrical engineering, automation, and digitalisation. 
  • Complete a Level 4 Electrical Engineering qualification by attending college 1 day a week and undertake your End Point Assessment in your final year. 

Where you'll work

North Farm Road
Hebburn
NE31 1LX

Training

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

Training provider

SUNDERLAND ENGINEERING TRAINING ASSOCIATION LIMITED

Training course

Engineering manufacturing technician (level 4)

Understanding apprenticeship levels (opens in new tab)

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.

Training schedule

This training schedule has not been finalised. Check with this employer if you’ll need to travel to a college or training location for this apprenticeship.

Requirements

Essential qualifications

GCSE in:

English language and Maths (grade 4 or above)

A Level in:

Mathematics (grade C or above)

Desirable qualifications

BTEC in:

Engineering (grade Merit or above)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

Skills

  • Problem solving skills
  • Team working
  • Initiative
  • Patience

About this employer

Our technology empowers customers to transform the industries that form the backbone of economies: industry, transportation, buildings and grids. Our solutions accelerate the digital transformation of multiple industries, to scale sustainability impact.

https://www.siemens.com/uk/en/company/jobs/search-careers.html (opens in new tab)

Disability Confident

Disability Confident

A fair proportion of interviews for this apprenticeship will be offered to applicants with a disability or long-term health condition. This includes non-visible disabilities and conditions.

You can choose to be considered for an interview under the Disability Confident scheme. You’ll need to meet the essential requirements to be considered for an interview.

After this apprenticeship

Following successful completion of the apprenticeship, and subject to a good training record, you may be offered a full-time role within Siemens.

Ask a question

The contact for this apprenticeship is:

SUNDERLAND ENGINEERING TRAINING ASSOCIATION LIMITED

The reference code for this apprenticeship is VAC2000006426.

Apply now

Closes on Saturday 31 January 2026

After signing in, you’ll apply for this apprenticeship on the company's website.