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EY Data Engineer - Kafka, Data and Analytics in Sydney, Australia

Data Engineer - Kafka, Data and Analytics


Requisition # SYD0045A

Post Date Sep 20, 2020

The Covid-19 pandemic is creating seismic challenges around the world. Our purpose, to build a better working world, has never been more important. Life at EY has been transformed dramatically but our strong culture of flexible and remote working has helped EY people navigate new ways of working and remain connected with each other and our clients.

A better working world truly starts with the people at EY who are building it every day. Now more than ever we need talented people from diverse backgrounds to help our clients navigate the complexities of this Transformative Age: people with the passion, curiosity and drive to make things better.


We are looking for a Senior Consultant - Data Engineer within the Technology Consulting – Data and Analytics team in our Sydney/Melbourne office.

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 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 keyresponsibilities

  • Work with diverse stakeholders to identifytheir challenges with data that can be addressed using various Analysistechniques

  • Be a part of a culture that focuses ondelivering excellence for our clients and work with an awesome team ofpeople to work with and access to cutting edge technologies

  • Flexibility to work in the way that brings outthe best in you and encourages you to do what you love, in an environmentthat supports you

  • Be involved in all aspects of the Projectlife-cycle, including Strategy, Road-Mapping, Architecture, Implementationand Development in order to gain maximum exposure to set you up for asuccessful consulting career.

Skills andattributes for success

We’re looking for people with strong Consulting experience. You will need passion for a career in data analytics, where you will provide a consultative service on a variety of data driven decision making projects within a fast-passed consulting environment.

We’re looking for people with strong Consulting experience. You will need passion for a career in data analytics, where you will provide a consultative service on a variety of data driven decision making projects within a fast-paced consulting environment.

  • At least 5 years’ experience as a dataengineer within the data and analytics domain

  • Strong project delivery toolset experience inopen source data integration tools

  • Experience with processing large volumes ofcomplex data. This role works closely with the data services team andregulatory reporting is a key customer of this team

  • Ability to define and develop data integrationpatterns and pipelines

  • Ability to assess complexity of data (volume,structure, relationship etc.)

  • Hands on technical expertise in Spark, Python,SQL, Java, Scala, Kafka etc

  • Hands on experience working with differentdata bases (RDBMS, NoSQL, Blob storage etc)

  • Hands on technical expertise setting up DevOpsautomation using tools such as Jenkins, Github etc

  • Hands on experience workingtechnologies/platform e.g. Dockers, Containers, Openstack, AWS, Azure, GCP

  • Experience building data profiling and datacleansing frameworks

  • Technical reconciliation and reporting

  • Knowledge and experience in end-to-end projectdelivery, either traditional SDLC or agile delivery methodologies (orhybrid approaches)

  • Exceptional communication, documentation andpresentation skills

Ideally,you’ll also have

  • Experience in engaging with bothtechnical and non-technical stakeholders

  • Strong consulting experience andbackground, including engaging directly with clients

  • Experience in a delivery role onBusiness Intelligence, Machine Learning, Statistical Modelling,DataWarehousing, Big Data or analytics project

What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your performance. In addition, our comprehensive package can be tailored to your individual needs, to give you the freedom to manage your role in a way that’s right for you. This includes;

  • avariety of flexible working and leave arrangements

  • personalised including coaching andsupport to help you build your career and access to formal learning so youcan develop the skills you’ll need to thrive in the future

  • a rangeof tools and benefits to guide and support your health and wellbeingthroughout your entire EY career

About EY

At EY, we hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging. Through our inclusive leadership behaviours, a variety of internal networks, flexible working and mentoring programs, you will have the support and flexibility to build an exceptional career.

EY is committed to making reasonable adjustments to provide a positive, barrier-free recruitment process for people with disability. If you require any adjustments to the recruitment process in order to equitably participate, we encourage you to advise us at the time of application via

We understand the importance of social distancing at this time so our recruitment and onboarding process will be managed virtually so we can continue to prioritise the safety and wellbeing of EY people, clients, guests and the broader public.

The exceptional EY experience. It’s yours to build. ​

Apply now.

Regarding this role, the minimum salary is A$90,000 including 9.5% superannuation.


The preferred applicant will be subject to employment screening by EY or by their external third party provider.

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