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!
