GCP Data Engineer — Build Scalable Cloud Pipelines

Insignia Financial; City of Melbourne; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Modern cloud tech

GCP learning opportunities

Team collaboration

Job summary

Insignia Financial is seeking a GCP Data Engineer to design, develop and optimise scalable data platforms on Google Cloud. You’ll work with large datasets, build robust data pipelines, and contribute to a culture of continuous improvement.

The role requires 3+ years in data or software engineering, hands-on GCP experience, and proficiency in Java or Python. Join a collaborative team focused on modern cloud-native technologies and data-driven insights.

Qualifications

• 3+ years of experience in data engineering, software engineering, or a related technical discipline.
• Hands-on experience with Google Cloud Platform services including BigQuery, Dataflow, Pub/Sub and Cloud Composer.
• Proficiency in Java or Python and building scalable, production-grade data pipelines.

Responsibilities

• Design and implement scalable, secure data solutions on Google Cloud Platform.
• Build and maintain batch and real-time data pipelines with modern cloud-native technologies.
• Apply DevOps practices including CI/CD, Infrastructure as Code (Terraform), and automated testing.

Skills

GCP data engineering

Data pipeline design

Java or Python

DevOps practices

Education

Bachelors in Computer Science / IT

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Job description

Insignia Financial is seeking a GCP Data Engineer to design, develop and optimise scalable data platforms on Google Cloud. You’ll work with large datasets, build robust data pipelines, and contribute to a culture of continuous improvement.

The role requires 3+ years in data or software engineering, hands-on GCP experience, and proficiency in Java or Python. Join a collaborative team focused on modern cloud-native technologies and data-driven insights.