GCP Data Engineer: Build Scalable Cloud Pipelines

IOOF Holdings Limited; City of Melbourne; On-site; AUD 110,000 - 150,000; Full time

Job summary

IOOF Holdings Limited in Melbourne is expanding its Data Engineering team to design, develop, and optimise scalable data platforms on Google Cloud Platform, powering insights and digital experiences across the organisation. This permanent, full-time role focuses on delivering robust data solutions using BigQuery, Dataflow, and Cloud Composer.

You will build reliable batch and real-time pipelines, apply DevOps with Terraform and automated testing, and ensure data quality and governance while

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3+ years of data engineering or software engineering experience.
• Strong hands-on experience with Google Cloud Platform services (BigQuery, Dataflow, Pub/Sub, Cloud Composer).
• Proficiency in Java or Python and building scalable data pipelines.

Responsibilities

• Design and implement scalable, secure data solutions on GCP.
• Build and maintain data pipelines for batch and real-time processing.
• Apply DevOps principles including CI/CD and IaC (Terraform).
• Ensure data quality, governance, and security across platforms.
• Optimise pipelines for performance, cost, and reliability.
• Monitor and troubleshoot data solutions and drive improvements.

Skills

Data engineering

Cloud data platforms

DevOps practices

Education

Bachelor's degree in Computer Science or related field

Tools

BigQuery

Dataflow

Cloud Composer

Pub/Sub

Terraform

CI/CD

Job description

IOOF Holdings Limited in Melbourne is expanding its Data Engineering team to design, develop, and optimise scalable data platforms on Google Cloud Platform, powering insights and digital experiences across the organisation. This permanent, full-time role focuses on delivering robust data solutions using BigQuery, Dataflow, and Cloud Composer.

You will build reliable batch and real-time pipelines, apply DevOps with Terraform and automated testing, and ensure data quality and governance while