Data Engineer

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

The opportunity 

We are seeking experienced Data Engineers at all levels to join our EY Data and Analytics team in our Brisbane, Melbourne, Canberra and Sydney offices. This role is offered on a flexible, full-time basis. 

Due to the nature of the client, the successful candidate must be an Australian Citizen.

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 600 specialist employees working across multiple industry sectors.

We implement information-driven strategies and systems that help grow, optimize and protect client organizations.

We go beyond strategy and provide end to end implementation of real-life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

Your key responsibilities:

• Develop, design and implement data and analytics solutions that are flexible and sustainable, make optimal use of technologies and ensure achievement of client outcomes and objectives.
• Manage end-to-end design activities that deliver self-service data and analytics solutions ensuring a user centred approach.
• Develop and maintain relationships with stakeholders to influence and achieve balanced outcomes, and to support automated deployment of solutions.
• Undertake research and analysis regarding the design, development, implementation and evaluation of technical data and analytics products and ensure delivery of quality solutions.

Skills and attributes for success 

• At least 3+ years’ experience in development with Python (preferably in AWS Cloud sphere)
• Experience with AWS Glue, Lambda, SQL, Spark and Redshift
• Previous experience working with data, data environments, databases, large data sets 
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)

Ideally, you’ll also have experience

• Engaging with both technical and non-technical stakeholders
• Consulting, including engaging directly with clients
• Ina delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects

 What we can offer you  

• Explore how a career at EY is yours to build at www.ey.com/au/careerdevelopment  
• Discover how, when and where you can work at www.ey.com/au/flexibility  
• Learn about our commitment to DE&I at www.ey.com/au/diversity-inclusiveness  
• Understand how our benefits can support you at www.ey.com/au/benefits  

Acknowledgement of Country  

EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Find out more about our vision for reconciliation at www.ey.com/au/reconciliation  

Apply now… we’re over 9,000 perspectives in Australia and we’re ready to welcome yours.   

 At EY we take inclusivity seriously, and we’re committed to removing barriers and improving the employment prospects of people with disability or long-term health conditions. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process. We understand sharing your needs with us can be daunting, so if you have questions before or during your application, we welcome you to get in touch at contactrecruitment@au.ey.com or +61 3 8650 7788 (option 2). Anything you tell us will be kept completely confidential.  

EY | Building a better working world 

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.