Data Engineer, AI and Data, Technology Consulting

Location: Melbourne

Other locations: Anywhere in Country

Date: 3 Aug 2026

Requisition ID: 1727441

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, you will design, build and implement scalable data pipelines and data solutions that drive meaningful business value. Collaborating closely with other data and analytics professionals, program teams, management, and stakeholders, you will play a pivotal role in delivering reliable, well-structured data for analytics, AI, and reporting. Your experience will enable you to understand business requirements and translate them into practical technical solutions, with a focus on data ingestion, transformation, modelling and validation. You will work across contemporary cloud data platforms and tools such as Databricks, Snowflake, Data Factory and dbt, applying strong SQL and PySpark skills to develop robust, maintainable data pipelines.

This is a hybrid position that can be based in Naarm – Melbourne, Meanjin – Brisbane or Warrang – Sydney .

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

Your key responsibilities

- Develop data engineering solutions using technologies such as Databricks, Snowflake, Spark, Data Factory, dbt, SQL, PySpark and related cloud data platform services.
- Translate business and analytics requirements into clear technical specifications, data flows and pipeline designs.
- Build and maintain data models that support reporting, analytics and downstream data consumption, applying foundational data modelling principles.
- Develop data flow diagrams and pipeline documentation to support solution design, delivery and knowledge sharing.
- As required, coordinate the work of junior colleagues or team members to ensure structure and focus on achieving team goals.

Skills and attributes for success





- Experience designing and developing data pipelines, with familiarity across technologies such as Databricks, Snowflake, Data Factory, Spark, dbt, Airflow or similar orchestration and transformation tools.
- 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).
- Foundational understanding of data modelling concepts, including how to structure data for consumption by analytics, AI, reporting and business users.
- Evidence of experience in modern development practices including use of code repositories, code review processes, test frameworks, and deployment practices.

Ideally, you’ll 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’llfuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.We’reproud to be recognised as the #1 WORK180 Endorsed Employer in the Top 101 Employers for Women 2026.Learn more .

- Careerdevelopment: At EY,



your career is yours to shape!We’lldevelop you with future-focused skills and equip you with world-class experiences ey.com/au/careerdevelopment
- Flexibleworkarrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.
- Acomprehensivebenefitspackage : From a yearly wellness incentive,to access to additional 8 weeks of flex leave per year, and family-friendly policies, includingup to26 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

Inclusiveness is core to who we are and how we work together, driving value for our people and for our business. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providingan equitableand barrier free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best andparticipateequitably 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 or (option 2). Anything you tell us will be kept completely confidential.

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EY | Building a better working world

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

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.

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📌 Data Engineer, AI and Data, Technology Consulting (Melbourne)
🏢 Ernst & Young Advisory Services Sdn Bhd
📍 Melbourne