Staff Data Engineer — Snowflake & dbt Lead

Synechron; Sydney; On-site; AUD 140,000 - 190,000; Full time

Job summary

Synechron is seeking an experienced Data Engineer with strong Snowflake, dbt, and data modelling capabilities to design, build, and optimize scalable data pipelines and cloud-based data warehouse solutions that support enterprise analytics, reporting, and BI initiatives.

The ideal candidate will implement data quality, governance, and performance tuning while collaborating with analytics, architecture, and engineering teams to deliver robust data platforms across the organization.

Qualifications

• Strong hands-on experience with Snowflake Data Cloud.
• Extensive dbt model development, testing, and incremental loading.
• Expertise in Data Modelling (Dimensional, Star, Snowflake, Data Vault).
• Experience building enterprise-grade ETL/ELT pipelines.
• Advanced SQL development and performance tuning.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of data warehousing principles and best practices.
• Experience with Git-based version control and CI/CD processes.

Responsibilities

• Design, build, and optimize scalable data pipelines and cloud-based data warehouse solutions.
• Develop and optimize ELT/ETL pipelines for structured and semi-structured data.
• Create and maintain data models supporting analytics and reporting requirements.
• Implement best practices for data quality, testing, governance, and documentation.
• Optimize Snowflake performance, cost management, and query tuning.
• Collaborate with business stakeholders, data analysts, architects, and engineers to gather requirements and deliver data solutions.

Skills

Snowflake

dbt

Data modelling

ETL pipelines

SQL tuning

AWS

Azure

GCP

Git CI/CD

Data warehousing

Tools

Git

CI/CD

Job description

Synechron is seeking an experienced Data Engineer with strong Snowflake, dbt, and data modelling capabilities to design, build, and optimize scalable data pipelines and cloud-based data warehouse solutions that support enterprise analytics, reporting, and BI initiatives.

The ideal candidate will implement data quality, governance, and performance tuning while collaborating with analytics, architecture, and engineering teams to deliver robust data platforms across the organization.