GCP Data Engineer: Build Scalable Cloud Pipelines

Insignia Financial; Adelaide; Presencial; AUD 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Modern cloud & data tech exposure

GCP-focused learning opportunities

Collaborative team culture

Resumo da oferta

Insignia Financial in Adelaide is seeking a GCP Data Engineer to design, develop, and optimise scalable data solutions on Google Cloud. You will work with large, complex datasets in a cloud-native environment, driving innovation and continuous improvement.

You will build robust data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer, while applying DevOps practices, CI/CD, and IaC to deliver high-quality, reliable data platforms. A collaborative, growth-focused team awaits.

Qualificações

• 3+ years of experience in data engineering or related technical discipline.
• Proficient with Google Cloud Platform services: BigQuery, Dataflow, Pub/Sub, Cloud Composer.
• Proficient in Java or Python and building production-grade data pipelines.
• Experience with DevOps practices, CI/CD, infrastructure as code, and automated testing.

Responsabilidades

• Design scalable, secure data solutions on Google Cloud Platform.
• Build and maintain batch and real-time data pipelines with cloud-native tech.
• Apply DevOps principles including Terraform and CI/CD to improve delivery.
• Ensure data quality via validation, monitoring, and governance controls.
• Optimise pipelines and storage for performance, scalability, and cost.
• Monitor, troubleshoot, and support solutions during build and operation phases.
• Implement security controls and access management across data platforms.

Conhecimentos

GCP Data Engineering

BigQuery

Dataflow

Pub/Sub

Cloud Composer

Java

Python

CI/CD

Infrastructure as Code

Automated testing

Data pipelines

Formação académica

Bachelor's degree in Computer Science or IT

Ferramentas

Terraform

Descrição da oferta de emprego

Insignia Financial in Adelaide is seeking a GCP Data Engineer to design, develop, and optimise scalable data solutions on Google Cloud. You will work with large, complex datasets in a cloud-native environment, driving innovation and continuous improvement.

You will build robust data pipelines using BigQuery, Dataflow, Pub/Sub, and Cloud Composer, while applying DevOps practices, CI/CD, and IaC to deliver high-quality, reliable data platforms. A collaborative, growth-focused team awaits.