Data Engineer (baseline) | Canberra

Job Requisition ID: 37897 

Data Engineer 

 

 

• Salary packaging – to suit your personal and financial circumstances 

• Global opportunities – for the travel bugs out there  

• Flexible work arrangements – work in a way that suits you best 
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As a Data Engineer within the Data & AI team in Canberra you will play a pivotal role in designing, building, and maintaining robust data pipelines and architectures that support advanced analytics and AI initiatives.

 

What will your typical day look like?

 

• Data Engineering & Architecture – Help build and optimize scalable data platforms using Databricks, Snowflake, and modern data stacks.
• Designing & Delivering AI & Data Solutions – Develop data models, analytics pipelines, AI/ML models, and cloud-based solutions that drive business value.
• Client Collaboration – Work closely with business stakeholders to understand challenges and translate them into technical solutions.
• Technical Problem-Solving – Apply Python, SQL, cloud technologies (AWS, Azure, GCP), and data visualization tools (Tableau, Power BI) to solve real-world problems.
• Supporting Agile Project Delivery – Work in Agile teams to develop, test, and deploy data solutions efficiently.
• Staying Ahead of Trends – Keep up with the latest AI, ML, and data engineering advancements and contribute to Deloitte’s innovation initiatives.
• Collaborate: Work closely with cross-functional teams to understand data needs and ensure our solutions align with business objectives.

 

About the team

 

Our diverse AI & Data team comprises over 500 specialist practitioners across Australia, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create data-centric solutions that help solve complex problems and transform, or reinvent our client’s business.

Our relationships with market leading vendors such as AWS, Microsoft, Google, Apple, Snowflake, Salesforce, and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale. We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports.
 

Enough about us, let’s talk about you.

 

• 1 to 3 years experience in Data and/or ML Engineering, with hands-on experience in either Python or SQL, DBT highly regarded.
• Experience implementing real-world data engineering, machine learning, predictive analytics or data mining solutions using Python, R, Scala or similar languages and/or experience implementing Generative AI solutions using industry leading LLM’s and services
• Familiarity with at least one programming language (e.g. Python, Java, C++)
• Familiarity with ETL tools and data integration processes. Experience building various architecture and solution patterns, and data platform automation frameworks leveraging technologies like Airflow, Terraform (or similar technologies), Python etc
• Knowledge of big data architectures and emerging trends in the field such as data mesh, fabric, medallion architecture
• Experience with databases, data warehouses, data lakes, or other storage solutions.
• Strong problem-solving skills and an ability to work collaboratively in a team setting.
• Ability to conceptualise solutions, clearly articulate delivery approach and designs.
• Ability to work independently, manage competing priorities, and deliver under tight deadlines. 
• Ability to translate business requirements into a technical solution and engage in stakeholder discussions.

 

Additional/desired skills or experiences:

 

• Demonstrated knowledge of AI/ ML and Gen AI capabilities across a variety of technology vendors and cloud platforms.
• Hands-on development experience in at least one of the major hyper scaler platforms – GCP, AWS, Google Cloud, Microsoft Azure, Databricks and Snowflake
• Public sector experience is highly desired.
• Experience participating in stakeholder discussions, development and delivery of AI & Data solutions
• Technical certifications will be highly regarded.
• Previous consulting or client-facing experience is highly regarded
   

Performance Expectations

 

• Client Delivery & Technical Excellence – Develop AI & Data solutions that drive measurable business outcomes.
• Stakeholder Engagement – Work closely with clients and teams to ensure project success.
• Continuous Learning & Innovation – Stay ahead of emerging AI & Data trends and contribute to Deloitte’s knowledge-sharing initiatives.
• Operational Excellence – Follow Quality & Risk Management standards and ensure best practices in project execution.

 

Why Deloitte?

 

At Deloitte, we create positively differentiated work experiences that enable our people to feel valued and achieve their full potential. Deloitte Australia opens the door to a career that can cross borders virtually and physically across Asia Pacific to gain experience and access projects beyond Australia’s borders. We value difference and embrace people with diverse backgrounds and thinking styles. Knowing that people work best in a variety of ways, we are happy to discuss alternative arrangements if the working pattern you are looking for is not specifically indicated. 

 

 

Next Steps

 

Sound like the sort of role for you? Apply now.

 

 

 

By applying for this job, you’ll be assessed against the Deloitte Talent Standards. We’ve designed these standards so that you can grow in your career, and we can provide our clients with a consistent and exceptional Deloitte employee experience globally. The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.