Data Engineer: Snowflake on AWS with dbt & Airflow

Synechron; City of Melbourne; Hybrid; AUD 110,000 - 140,000; Full time

Job summary

Synechron in Melbourne seeks a data engineer to design and implement cloud-based data platforms using Snowflake, AWS, dbt and Airflow. You will build scalable ETL/ELT pipelines and collaborate with analytics teams to deliver reliable data solutions.

The role requires strong SQL and data warehousing expertise, plus experience with enterprise data platforms. We offer flexible hybrid work arrangements and opportunities to work on broad data initiatives.

Qualifications

• Experience with Snowflake Data Cloud in an AWS environment.
• Strong SQL and data warehousing knowledge.
• Hands-on with dbt for transformation and modelling.
• Experience building and supporting ETL/ELT pipelines in cloud data platforms.
• Familiarity with Git, CI/CD and Agile delivery methods.

Skills

Snowflake Data Cloud

AWS

dbt

Apache Airflow

SQL

ETL/ELT pipelines

Data Warehousing

Git CI/CD

Agile

Stakeholder comms

Tools

S3

IAM

CloudWatch

Lambda

SQS/SNS

Job description

Synechron in Melbourne seeks a data engineer to design and implement cloud-based data platforms using Snowflake, AWS, dbt and Airflow. You will build scalable ETL/ELT pipelines and collaborate with analytics teams to deliver reliable data solutions.

The role requires strong SQL and data warehousing expertise, plus experience with enterprise data platforms. We offer flexible hybrid work arrangements and opportunities to work on broad data initiatives.