Aftermarket Engineer – Spare Parts & Repair Solutions

Company Description

Accelerate your career with a fast-growing global engineering group. At SEGULA Technologies, you'll work on exciting projects and help shape the future in a company where innovation goes hand in hand with engineering.

3D printing, augmented reality, autonomous vehicles, the factory of the future... these are the daily rhythms of our 10,000 ingenious employees, so why not yours?

Whether next door or on the other side of the world, at SEGULA Technologies you'll find the opportunity that will give new meaning to your career!

Job Description

Mission to lead developing efficient Spare parts, Service & Repair solutions to maximize vehicle uptime, thereby creating competitive product advantage in the aftermarket business.

Responsibilities: 

• Develop, document and optimize Spare Parts solution needed for technical repairs.
• Develop, adapt and document repair methods & standard times on component, system and vehicle level.
• Develop, adapt and document special tools needed to perform repair methods.
• Lead internal technical review related to spare parts, repair methods and standard times to assure coherence.
• Ensure that the repair methods & standard times fulfill safety and quality objectives.
• Secure to verify, validate and quality assure technical solution prior to introduction in systems.
• Ensure the technical solution is synchronized with stakeholders and taking holistic view of entire product value chain.
• Take ownership of the parts assortment and repair methods throughout the product lifecycle.
• Close collaboration with Product Development Engineering to share learnings from the market and product performance to enhance vehicle uptime.
• Use machine learning and business intelligence to drive efficiencies in the day-to-day work to improve dealer workshop autonomy and maintenance effectiveness.
• Have a passion/interest in Automation (Python, Java, C++) to develop solutions to drive efficiency in day-to-day work.
• Strong skills in Data Analytics to help drive decision making to support the business based on data.

Qualifications

• 0 to 5 years relevant experience required.
• Self-sufficient, takes lead on own tasks and able to work/plan independently
• Self-driven proactive engagement with learning opportunities and ongoing Experienced development
• Honing skills in own discipline whilst growing a more general, broader view of wider Business Area
• Shows potential for longer-term development

Additional Information

• All your information will be kept confidential according to EEO guidelines.