Senior Data Engineer

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