GCP Data Engineer: Build Scalable Cloud Data Pipelines

Insignia Financial; Adelaide; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Career development in GCP

Talented team

Job summary

Insignia Financial in Adelaide is seeking a GCP Data Engineer to join our expanding data team. You will design, develop, and optimise scalable data platforms on Google Cloud, working with large datasets and cloud-native technologies to power insights and digital experiences across the organisation.

Bring 3+ years in data or software engineering, strong GCP skills (BigQuery, Dataflow, Pub/Sub, Cloud Composer), and proficiency in Java or Python.

Qualifications

• Tertiary qualification in Computer Science, Information Technology, or equivalent industry experience.
• 3+ years of experience in data engineering, software engineering, or 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 building scalable, production-grade data pipelines and applications.

Responsibilities

• Design and implement scalable data solutions using Google Cloud Platform services.
• Build and maintain reliable batch and real-time data pipelines.
• Apply DevOps principles, including CI/CD, Infrastructure as Code (Terraform), and automated testing.
• 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.

Skills

GCP Data Engineering

Python/Java

CI/CD

Data Pipelines

Education

Bachelor's in CS/IT or equivalent

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Job description

Insignia Financial in Adelaide is seeking a GCP Data Engineer to join our expanding data team. You will design, develop, and optimise scalable data platforms on Google Cloud, working with large datasets and cloud-native technologies to power insights and digital experiences across the organisation.

Bring 3+ years in data or software engineering, strong GCP skills (BigQuery, Dataflow, Pub/Sub, Cloud Composer), and proficiency in Java or Python.