Company description:

Deloitte Services Pty Ltd

Job description:

**Data Engineering Tech Lead Data & Analytics Sydney, AUS**

• Work on cutting-edge enterprise data solutions using Databricks, Azure Data Factory, DBT, and Python.
• Collaborate with a high-performing, agile team to deliver impactful insights across Deloitte.
• Continuous professional growth through mentoring, training, and exposure to emerging data engineering technologies.

Deloitte Technology is seeking a skilled Senior Data Engineer to join our Enterprise Data Warehouse (EDW) team in Sydney. This is a permanent role where you’ll play a key part in designing, implementing, and optimising scalable data pipelines and workflows that power Deloitte’s data-driven initiatives. You’ll have the opportunity to work closely with EDW pod leads and the Senior Data Engineering Manager, contributing to high-impact projects across the business.

What will your typical day look like?

Day to day you will:

• Develop and maintain scalable data pipelines using Databricks and Azure Data Factory.
• Transform raw data into actionable insights using Data Build Tools (DBT) and Python.
• Build and maintain data integrations across systems using APIs.
• Monitor and optimise workflows for performance and cost-efficiency.
• Lead project delivery pods, mentor junior team members, and conduct code reviews.
• Collaborate with data modelers, analysts, DBAs, DevOps, and infrastructure teams to deliver high-quality solutions.
• Document processes, workflows, and system architecture to maintain clarity and knowledge sharing.

About the team

Deloitte Technology’s EDW team powers enterprise-wide data initiatives, enabling business users to make informed, data-driven decisions. You’ll join a collaborative and high-performing team working in an agile environment, tackling complex data challenges and continuously improving the EDW platform.

Enough about us, let’s talk about you

You may have all or some of the following skills / experiences:

• 5+ years of experience in data engineering, with expertise in Databricks, SQL, Python, Azure Data Factory, and DBT.
• Experience designing, building, and optimising data pipelines and workflows.
• Hands-on experience with API-based data integrations and version control systems (Azure DevOps, GitHub).
• Strong understanding of data architecture patterns and cloud data storage solutions.
• Excellent problem-solving skills, attention to detail, and adaptability.
• Collaborative mindset with strong communication and stakeholder management skills.
• Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced degrees or relevant certifications in Azure or Databricks are a plus.
• Desirable: Knowledge of Azure Fabric and emerging data engineering technologies.

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 society. We put coaching at the heart of what we do, helping our people grow their careers in any direction - up, into new areas, or across the globe.

We embrace diversity, equity, and inclusion. We have a diverse collection of people from different backgrounds, experiences, abilities, and thinking styles. What binds us together is a shared commitment to value everyone’s perspective and cultivate inclusion, making our work environment a space where everyone belongs.

We support flexibility and choice. We encourage you to find the right balance between connecting in person with your clients and teams and meeting your own personal needs.

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 a return-to-work support package.

Next Steps

Sound like the sort of role for you? Apply now, we’d love to hear from you!

LI-Hybrid