Description

　　Note: Start date is June or July 2024 and duration is 12 weeks.

　　At Amazon Web Services (AWS), we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results.

　　Amazon is a place where builders can build. Our internships offer exceptional opportunities for you to grow your technical and non-technical skills. Are you ready to embrace the challenge? Come build the future with us.

　　Sustainability Operations Internship

　　Do you have an interest in Water, Sustainability and Big Data? Are you excited to work on the world’s largest cloud computing infrastructure? Are you passionate about making an impact in water, and sustainability industry? In this role, you will support AWS’s commitment to be water positive by 2030 by helping lower water use.

　　The program offers the opportunity to specialize in an area of interest including:

　　• Water Operations - dive deep into water infrastructure, controls solutions, data and asset information, work with internal stakeholders and use analytical skills to assess data, support the internal efficiency metrics on cooling assets across the region. (Engineering focus)

　　• Data Analytics - Work with internal teams to develop water reporting dashboards, recognise and drive adoption of best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation, identify and scope improvements. (Data Analytics and reporting focus)

　　The internship is based in our corporate office and may require travel to Data Center sites across Dublin.

　　A day in the life

　　Inclusive Team Culture

　　Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

　　Work/Life Harmony

　　Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment AND WE encourage you to find your own balance between your work and personal lives.

　　Mentorship & Career Growth

　　Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.

　　We are open to hiring candidates to work out of one of the following locations:

　　Dublin, D, IRL

　　Basic Qualifications

　　• Currently enrolled in degree program with a graduation date between June and December 2025.

　　• Majoring in one of the following: Mechanical Engineering, Process Engineering, Chemical Engineering, Environmental Engineering, Computer Science, Data Analytics or related science/technical fields.

　　Preferred Qualifications

　　• Ability to assess data analytically to determine irregularities and areas for further investigation

　　• Able to work cross functionally with internal and external stakeholders

　　• Excellent speaking-listening-writing skills and attention to detail

　　• Be a passionate self-starter

　　• Experience with software and commercial technologies such as Tableau, SQL, etc. Write high quality code to retrieve and analyse data.