You will be a key part of delivering high quality solutions, collaborating with cross functional teams to deliver data solutions that add value. Initial 3 month contract with likelihood of a 12 month extension Brisbane based, hybrid work environment Let’s talk details: We are on the hunt for a Senior Data Engineer to play a role in supporting serverless functions using AWS Lambda and integrating them into a Snowflake Data Warehouse. This role will also see you working with DBT and AWS Managed Workflow for Apache Airflow - to build and manage data workflows, ensuring smooth and scalable data processes. Design, develop, and maintain scalable data pipelines and cloud solutions Participate in the full data solution lifecycle, from analysis and estimation to development, testing, deployment Ensure data solutions align with governance, security, and quality frameworks Optimise data storage and integration with APIs for structured and unstructured data Collaborate in an Agile team, working closely with leadership, developers, and data specialists Monitor, troubleshoot, and continuously improve data workflows for performance and reliability Must have: 6 years in data engineering & analytics Strong SQL skills Experience with Snowflake, AWS Redshift Expertise in data modelling and ETL workflow design Proficiency in DBT, Apache Airflow, and cloud based environments Experience with databases SQL Server, Oracle, Postgres Nice to have: Databricks experience DynamoDB, Kinesis, Lambda & NoSQL databases Python, Node.js Knowledge of Kafka, Kinesis Streams & Machine Learning Power BI, Tableau Does this sound like you? Please submit an application ASAP