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- Tasks: Drive improvements in automation systems and enhance reliability through data analysis and engineering solutions.
- Company: Join Amazon Technologies, a leader in innovation and technology.
- Benefits: Competitive salary, travel opportunities, and professional growth in a dynamic environment.
- Why this job: Make a real impact on cutting-edge automation systems in a global network.
- Qualifications: Degree in Engineering or Computer Science; experience in reliability engineering and data analytics.
- Other info: Collaborative culture with opportunities to lead cross-functional teams and projects.
The predicted salary is between 36000 - 60000 £ per year.
As an Amazon Technologies Systems Engineer, you will be the primary point of contact for internal customers and partners, driving the implementation and continuous improvement of world-class maintenance, repair, and supportability solutions for Amazon's Mechatronics and Sustainable Packaging systems within Amazon’s Fulfillment Centers. You will lead cross-functional engineering and product support teams engaged in continuous improvement initiatives to enhance processes around maintenance and reliability of these systems. You will analyze large-scale data from PLCs, sensors, controls equipment and maintenance records to identify improvement opportunities around preventative maintenance, system optimizations, reliability metrics, and overall equipment effectiveness. Utilizing this data, you will engage customers to understand and document business requirements, drive problems to root cause, and manage implementation programs for corrective actions. You will apply your expertise in robotics, mechatronics, reliability engineering and system lifecycle management to build scalable solutions that ensure optimal performance and availability of thousands of workcells across Amazon’s global fulfillment center network.
Key job responsibilities
- Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems.
- Develop and deliver impactful data-driven analyses, based on equipment failure and downtime data to justify need for change and recommendations.
- Lead Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA) to reduce downtime, eliminate errors and defects, and optimize overall equipment performance.
- Engage cross functional teams of maintenance technicians, engineers, product owners and leaders within RME to deliver structured problem solving.
- Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets.
- Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends and analysis around equipment uptime, failures, SLA performance, and other key metrics.
- Provides guidance to maintenance teams and field technicians on equipment maintenance and complex issue troubleshooting and resolution, interacting directly with functions like Engineering, Operations, and Facilities on technical matters.
- This role will require the ability to travel up to 50%.
BASIC QUALIFICATIONS
- Bachelor's degree in Engineering, Computer Science, or a related technical field
- Experience with process improvement, Kaizan, and Six Sigma, or experience as a lean sensei
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- 3+ years’ experience in reliability engineering, manufacturing engineering, lifecycle engineering or related role, with demonstrated specialization in robotics and mechatronics.
- 2+ years’ experience in Robotics and Mechatronics maintenance.
PREFERRED QUALIFICATIONS
- Experience with EPMS/SCADA/BMS controls system software or hardware
- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making
- Experience as a mentor, tech lead or leading an engineering team, or experience leading and influencing your team or organization
- Understanding of: 480V 3-phase, 110 VAC, and 24VDC systems
- Ability to interpret, modify, and develop drawings both mechanical and electrical
Amazon Technologies Systems Engineer - Sort Automation, Reliability and Automation Engineering Team (RAE) in London employer: Amazon UK Services Ltd.
Contact Detail:
Amazon UK Services Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Amazon Technologies Systems Engineer - Sort Automation, Reliability and Automation Engineering Team (RAE) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Amazon or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. You never know who might give you the inside scoop!
✨Tip Number 2
Prepare for the interview by diving deep into Amazon's culture and values. Familiarise yourself with their leadership principles and think of examples from your past that align with these. This will show you're not just a fit for the role, but also for the company.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to simulate the interview experience. Focus on articulating your experience with data analytics, reliability engineering, and process improvement clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Good luck, we believe in you!
We think you need these skills to ace Amazon Technologies Systems Engineer - Sort Automation, Reliability and Automation Engineering Team (RAE) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in reliability engineering, robotics, and data analytics. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about the role and how your background makes you a perfect fit. Don't forget to mention any relevant projects or achievements!
Showcase Your Data Skills: Since data analysis is key for this role, be sure to include specific examples of how you've used SQL, Python, or other tools to drive improvements in past positions. We love seeing those numbers!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Amazon UK Services Ltd.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of robotics, mechatronics, and reliability engineering. Be ready to discuss specific projects where you've applied these skills, especially in relation to data analytics and process improvement. This will show that you’re not just familiar with the concepts but have practical experience.
✨Prepare for Data-Driven Questions
Since the role involves analysing large-scale data, be prepared to answer questions about your experience with SQL, Python, or any statistical software. Think of examples where you’ve used data to drive decisions or improvements, and be ready to explain your thought process clearly.
✨Showcase Your Problem-Solving Skills
The interviewers will want to see how you approach problem-solving. Prepare to discuss specific instances where you led Kaizen events or conducted Failure Modes and Effects Analyses (FMEA). Highlight your ability to engage cross-functional teams and drive solutions to root causes.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing projects, or how they measure success in this role. This shows your genuine interest in the position and helps you gauge if it’s the right fit for you.
