Senior Data Engineer: Snowflake & AWS Data Pipelines

Synechron; Sydney; On-site; AUD 150,000 - 230,000; Full time

Job summary

Synechron is seeking a Senior Data Engineer in Sydney to own and advance data pipelines using Snowflake, DBT, and AWS. You will design robust ETL/ELT flows, optimize SQL, and ensure data governance. Expect collaboration across teams, implementing CI/CD for data platforms while handling structured and semi-structured data and real-time streams.

The role emphasizes Python automation, data quality, and scalable architectures within a regulated financial services context.

Qualifications

• Strong experience with Snowflake Data Cloud and data modeling.
• Hands-on expertise with DBT for transformations and data modeling.
• Proficient in AWS services (S3, Lambda, Glue, IAM, CloudWatch).
• Advanced SQL development and query optimization skills.
• Strong Python programming for data engineering and automation.
• Experience building enterprise ETL/ELT pipelines.
• Knowledge of data governance, security, and access management.
• Experience with CI/CD and DevOps practices for data platforms.
• Experience with Airflow, Prefect, or similar orchestration tools.
• Exposure to data lake / lakehouse architectures and real-time data.

Skills

Snowflake Data Cloud

DBT (Data Build Tool)

AWS services

Python for data engineering

ETL/ELT pipelines

SQL development & optimization

Data governance & security

CI/CD for data platforms

Airflow / Prefect / orchestration

Data lake / lakehouse architectures

Real-time & streaming data exposure

Tools

Snowflake

DBT

AWS S3

AWS Lambda

AWS Glue

AWS IAM

AWS CloudWatch

AWS Step Functions

Airflow

Prefect

Job description

Synechron is seeking a Senior Data Engineer in Sydney to own and advance data pipelines using Snowflake, DBT, and AWS. You will design robust ETL/ELT flows, optimize SQL, and ensure data governance. Expect collaboration across teams, implementing CI/CD for data platforms while handling structured and semi-structured data and real-time streams.

The role emphasizes Python automation, data quality, and scalable architectures within a regulated financial services context.