GCP Data Engineer — Build Scalable Data Pipelines

Insignia Financial; Australia; On-site; AUD 120,000 - 150,000; Full time

Job summary

Insignia Financial in Australia is expanding its Data Engineering team to build modern data platforms powering insights and digital experiences. As a GCP Data Engineer you will design, develop, and optimise scalable data solutions on Google Cloud Platform, handling large datasets in a cloud-native environment.

Join a talented team with opportunities for professional growth, hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Terraform, and a culture focused on continuous

Qualifications

• 3+ years of data engineering or related experience.
• Hands-on with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Cloud Composer).
• Proficiency in Java or Python; building scalable data pipelines.
• Experience with DevOps practices and CI/CD.
• Knowledge of data quality, governance and security controls.

Responsibilities

• Design and implement scalable data solutions on GCP.
• Build batch and real-time data pipelines.
• Apply DevOps principles, including CI/CD and IaC (Terraform).
• Ensure data quality and governance.
• Optimise pipelines for performance and cost.
• Monitor, troubleshoot and support data platforms.
• Implement security controls and access management.

Skills

Data engineering

Java

Python

CI/CD

Education

Tertiary qualification in Computer Science or equivalent

Tools

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Terraform

Job description

Insignia Financial in Australia is expanding its Data Engineering team to build modern data platforms powering insights and digital experiences. As a GCP Data Engineer you will design, develop, and optimise scalable data solutions on Google Cloud Platform, handling large datasets in a cloud-native environment.

Join a talented team with opportunities for professional growth, hands-on experience with BigQuery, Dataflow, Pub/Sub, Cloud Composer, and Terraform, and a culture focused on continuous