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!