Quality Engineering Team Lead

About the role

BURGA is seeking a Quality Engineering Team Lead to drive product quality and continuous improvement across its fast‑growing manufacturing operation. Reporting to the Director of Supply and Quality, you will lead a team of Quality Engineers and act as a key partner in solving product and raw‑material issues, managing supplier quality, and establishing robust quality processes.

Key responsibilities

• Lead, develop and coordinate a team of Quality Engineers, setting priorities and providing feedback.
• Own product and raw‑material quality issues from root‑cause analysis through corrective action and resolution.
• Manage supplier quality, including claims handling, corrective actions, performance monitoring and audits.
• Collaborate with Product Development, Purchasing and Production to prevent quality risks and improve processes.
• Design and maintain quality processes, KPIs, supplier scorecards and reporting mechanisms.
• Analyze quality data, identify trends and risks, and present actionable recommendations to management.
• Oversee the Quality Engineering budget and promote a culture of continuous improvement.

Required profile

• 3–5 years of experience in Quality Engineering, Supplier Quality or a similar role within electronics, automotive, medical devices, optics/laser technology or related technical industries.
• Proven hands‑on experience with supplier claims, corrective actions and supplier performance improvement; supplier audit experience is a strong advantage.
• Demonstrated ability to lead people, coordinate priorities and drive cross‑functional projects.
• Strong problem‑solving mindset and ability to build structure and processes where they are not yet established.
• Excellent communication, analytical and influencing skills.

Required skills

• 8D problem‑solving methodology
• 5 Why analysis
• Ishikawa (fishbone) diagram
• Failure Mode and Effects Analysis (FMEA)
• Corrective and Preventive Action (CAPA) processes
• Root‑cause analysis
• Supplier audit techniques
• KPI development and data analysis