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Data Engineer - AI and Data

EY

Data Engineer - AI and Data

EY

·

On-site

·

Full-time

·

1mo ago

必备技能

AWS

Go

Azure

Spark

Airflow

Tableau

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

As a Data Engineer at either the Senior Consultant or Manager rank, you will design, build and implement scalable data solutions that drive significant business value. Collaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a pivotal role in the analytics landscape. Your experience will enable you to comprehend and dissect business requirements, translating them into precise technical specifications. You will serve as a vital link between business stakeholders and technical teams, ensuring that the development process aligns seamlessly with the intended design and objectives.

In line with client requirements this role is based in our **Boorloo – Perth, Australia office. **

Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options.

Your key responsibilities

  • Be able to clearly explain strengths and weaknesses of data engineering options to both technical and senior business stakeholders.

  • Design, build and operate scalable on-premises or cloud data engineering architecture solutions that facilitate data storage, integration, management, validation and security, supporting the entire data asset lifecycle.

  • As required, coordinate the work of junior colleagues or team members to ensure structure and focus on achieving team goals.

  • Develop data flow diagrams for data engineering pipelines and consumption design (e.g. with Databricks, Spark, Azure ADF, SSIS, AWS Glue, Kinesis or Lambda, and reporting in PowerBI or Tableau) for data engineering pipelines

Skills and attributes for success

  • Knowledge with Data pipeline development, including familiarity of various technologies such as Databricks, Azure Data Factory, AWS Kinesis, Spark, Airflow.

  • Proficiency and demonstrated experience in transformation of large complex data sets from source systems to target platforms (experience in Azure and AWS based solutions using one or more data engineering or data platform technologies required).

  • Evidence of experience in modern development practices including use of code repositories, code review processes, and test frameworks

Ideally, you’ll also have the skills and attributes below, but don’t worry if you don’t tick all the boxes. We’re interested in your aptitude, attitude and willingness to learn.

  • Ability to introduce innovative ways of organising, managing and integrating data to ensure its quality and ability to be used as a distinctive asset to generate a return.

  • Leads by example and models behaviours that support a culture of safety, health and wellness.

  • Excellent communication skills, and the ability to communicate and present information with purpose, clarity and impact

What we offer you

At EY, we’ll fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

  • Career development: At EY, your career is yours to shape! We’ll develop you with future-focused skills and equip you with world-class experiences ey.com/au/careerdevelopment

  • Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.

  • A comprehensive benefits package: From a yearly wellness incentive, to access toadditional8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally 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 ey.com/en_au/careers/indigenous

Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all. 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.

Are you ready to shape your future with confidence? Apply today.

EY | Building a better working world

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

© 2025 Ernst & Young Australia. A member firm of Ernst & Young Global Limited. All Rights Reserved. Liability limited by a scheme approved under Professional Standards Legislation.

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关于EY

EY

EY

Public

EY, previously known as Ernst & Young, is a British multinational professional services network based in London, United Kingdom. Along with Deloitte, KPMG and PwC, it is one of the Big Four professional services firms.

10,001+

员工数

London

总部位置

评价

3.4

10条评价

工作生活平衡

2.3

薪酬

3.7

企业文化

4.1

职业发展

3.8

管理层

3.2

65%

推荐给朋友

优点

Good learning opportunities and career advancement

Supportive culture and kind people

Professional environment and good benefits

缺点

Long working hours and poor work-life balance

Hectic and taxing work environment

Limited support for interns and technical growth

薪资范围

31,254个数据点

Mid/L4

Mid/L4 · Operations Research Analyst

1,738份报告

$142,571

年薪总额

基本工资

$136,899

股票

-

奖金

$5,673

$100,128

$203,912

面试经验

7次面试

难度

3.0

/ 5

时长

14-28周

录用率

57%

面试流程

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Technical/Case Interview

5

Partner/Director Interview

6

Offer

常见问题

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Culture Fit