GCP Data Engineer: Scalable Pipelines & Cloud DevOps

Insignia Financial; Melbourne; On-site; AUD 110,000 - 150,000; Full time

Job summary

Insignia Financial in Melbourne is seeking a GCP Data Engineer to design, develop, and optimise scalable data solutions on Google Cloud Platform, handling large datasets in a cloud-native environment.

You will design data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer, apply DevOps practices, and ensure data quality and security across platforms.

Join a team focused on modern cloud technologies, career development, and collaborative engineering culture.

Qualifications

• Tertiary qualification in Computer Science, Information Technology, or equivalent industry experience
• 3+ years of experience in data engineering, software engineering, or a related technical discipline
• Strong hands-on experience with Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub, and Cloud Composer
• Proficiency in Java or Python and experience building scalable, production-grade data pipelines and applications
• Experience with DevOps practices, CI/CD pipelines, Infrastructure as Code, and automated testing frameworks

Responsibilities

• Design and implement scalable, secure, and robust data solutions using Google Cloud Platform services such as BigQuery, Dataflow, and Composer.
• Build and maintain reliable batch and real-time data pipelines using modern engineering practices and cloud-native technologies.
• Apply DevOps principles, including CI/CD, Infrastructure as Code (Terraform), and automated testing to improve delivery efficiency and quality.
• Ensure data quality through validation, monitoring, governance controls, and adherence to engineering standards.
• Optimise data pipelines and storage solutions for performance, scalability, reliability, and cost efficiency.
• Monitor, troubleshoot, and support solutions during build, driving continuous improvements and operational excellence.
• Implement security controls, access management processes, and compliance requirements across data platforms.

Skills

Java

Python

Data engineering

Cloud computing

Education

Bachelor's degree in Computer Science / Information Technology or equivalent

Tools

Google Cloud Platform

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Terraform

Job description

Insignia Financial in Melbourne is seeking a GCP Data Engineer to design, develop, and optimise scalable data solutions on Google Cloud Platform, handling large datasets in a cloud-native environment.

You will design data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer, apply DevOps practices, and ensure data quality and security across platforms.

Join a team focused on modern cloud technologies, career development, and collaborative engineering culture.