Date:
19 May 2026
Location:
Sydney, NSW, AU
Department:
Enabling Areas
Description:
Job Requisition ID: 40528
Help shape and scale Deloitte's Enterprise Data Warehouse platform on Azure, Databricks and dbt, building trusted data foundations for analytics at scale
Tackle big issues like cyber, trust, resilience and digital transformation
Mentoring, coaching and leadership programs to help you make an impact that matters
Join our Sydney team in a hybrid Senior Data Engineer role where you'll build the data platform and pipelines that help turn complex enterprise data into trusted, usable insight.
What will your typical day look like?
This role is hands-on and deeply technical. You'll design and build production-grade data pipelines using Databricks and Azure Data Factory, develop robust transformations in dbt, and write performant SQL and Python to support reliable ETL and ELT in a cloud environment.
A big part of the role is making data dependable. That means integrating data across systems through APIs, improving pipeline performance and observability, and solving root-cause issues so analysts and business stakeholders can work from data they trust.
Working closely with engineers, analysts and stakeholders, you'll help lift engineering standards across the platform. You'll contribute to architecture and process improvements, take part in code reviews, and provide guidance to junior engineers while helping the team continuously improve how it builds and delivers.
About the team
The Enterprise Data Platform team builds and evolves the foundations that support reporting, analytics and data-led decision-making across the business. Using tools including Azure, Databricks, Azure Data Factory and dbt, the team focuses on creating scalable, maintainable and trusted data solutions that make complex data more accessible, useful and reliable.
Enough about us, let's talk about you
You may have all or some of the following skills/experiences:
5+ years' experience delivering data engineering solutions in cloud environments
Strong hands-on capability in Databricks, Azure Data Factory, dbt, SQL and Python
Experience designing and building scalable, reliable and maintainable cloud-based data pipelines
A solid understanding of modern data architecture and ETL/ELT patterns
Experience using Git or Azure DevOps for version control and collaborative engineering practices
Strong problem-solving skills, including troubleshooting and root-cause analysis
Confidence working with analysts, engineers and business stakeholders to deliver trusted data outcomes
Nice to have: exposure to data modelling, data quality or observability tools, Microsoft Fabric, or Azure / Databricks certifications
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.
