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. 2982583
