Data Modelling Engineer

Build scalable data pipelines with Airflow, dbt, Snowflake, and Python in a modern, ML-focused environment. Your new company
You will be joining a large, forward-thinking organisation undergoing significant transformation across its data and analytics landscape. The team is focused on building scalable, automated, cloud-based data platforms that enable high-quality insights, advanced analytics, and machine learning delivery.
Your new role
As a Data Modelling Engineer, you will design, build, and maintain modern, scalable data solutions across cloud and analytics environments. You will work with Airflow/Astronomer to orchestrate complex workflows, develop modular transformation pipelines using DBT, and optimise Snowflake performance through efficient modelling and query design. You will build high-quality ETL pipelines in Python, support machine learning workflows in collaboration with Data Scientists, and ensure delivery excellence through strong CI/CD practices using GitLab. This role sits within an agile team with a strong focus on automation, reliability, and engineering best practice. Adelaide-based candidates are highly preferred.
What you'll need to succeed

• 5+ years' experience as a Data Engineer delivering scalable data solutions
• Proficiency with Apache Airflow/Astronomer for workflow orchestration
• Strong hands-on experience in DBT and modular transformation pipelines
• Deep expertise in Snowflake, including performance tuning and optimisation
• Advanced Python for ETL, automation, and API integration
• Experience supporting machine learning and feature engineering workflows
• Strong understanding of CI/CD and GitLab for automated deployments
• Excellent communicator with strong teamwork skills in agile environments

What you'll get in return

• Opportunity to work within a high-performing data engineering function
• Exposure to a modern cloud-native data stack
• Highly collaborative environment with a strong engineering culture
• Attractive daily rate and hybrid working flexibility

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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