Apprentice Quality Engineer - Data Technician Path

Dennis Eagle UK; Lancashire; On-site; GBP 16,000 - 18,000; Full time

Benefits offered by this job

25 days annual leave

Enhanced pension

Life assurance

Health and wellbeing support

Employee assistance programme

Career development

Cycle to Work

My Benefits platform

Mortgage advice

Job summary

Dennis Eagle UK is offering an Apprenticeship for a Quality Engineer in Blackpool. You’ll engage in hands-on quality data analysis, support investigations into non-conforming materials, and collaborate with suppliers to drive quality improvements.

You’ll learn Level 3 Data Technician apprenticeship, with live online sessions, coaching and workplace projects, while building skills in data extraction, cleaning, and visualization.

Qualifications

• GCSEs including Maths, English and Science (desirable).
• You don’t need previous quality experience – attitude and interest matter most.
• Flexibility and willingness to learn and develop.

Responsibilities

• Collect and analyse quality data to identify trends and improvement opportunities.
• Support investigations into non-conforming or defective materials and help implement corrective actions.
• Work with suppliers to assess quality, capability and compliance.
• Support new product introduction and supplier verification activities.
• Participate in cross-functional improvement projects across the business.
• Learn and apply structured problem-solving, Lean and continuous improvement tools.

Skills

Analytical mindset

Curiosity

Communication

Problem-solving

IT literacy

Education

GCSEs incl Maths English Science

Tools

SQL

Excel

Power BI

Job description

Dennis Eagle UK is offering an Apprenticeship for a Quality Engineer in Blackpool. You’ll engage in hands-on quality data analysis, support investigations into non-conforming materials, and collaborate with suppliers to drive quality improvements.

You’ll learn Level 3 Data Technician apprenticeship, with live online sessions, coaching and workplace projects, while building skills in data extraction, cleaning, and visualization.