GCP Data Engineer
Summary
GCP Data Engineer joining IOOF's expanding Data Engineering team to design, build, and optimise scalable batch and real-time data pipelines on Google Cloud Platform (BigQuery, Dataflow, Composer), applying DevOps practices such as CI/CD, Terraform, and automated testing. Permanent full-time role across multiple Australian cities.
Job Description
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MELBOURNE, VIC, AU, 3008 HOBART, TAS, AU, 7000 ADELAIDE, SA, AU, 5000 BRISBANE, QLD, AU, 4000 SYDNEY, NSW, AU, 2000 PERTH, WA, AU, 6000
Employment Type: Permanent Full Time
- Work with Modern Cloud & Data Technologies
- Career development and learning opportunities focussed on GCP
- Be a part of a talented and passionate team
Join our expanding Data Engineering team where you’ll help build modern data platforms that power insights, decision-making, and digital experiences across the organisation. As a GCP Data Engineer, you will design, develop, and optimise scalable data solutions on Google Cloud Platform, working with large and complex datasets in a cloud-native environment. This is an exciting opportunity for an engineer who enjoys solving complex problems, working with modern technologies, and contributing to a culture of continuous improvement and innovation.
Key Responsibilities:- Design and implement scalable, secure, and robust data solutions using Google Cloud Platform services such as BigQuery, Dataflow, and Composer.
- Build and maintain reliable batch and real-time data pipelines using modern engineering practices and cloud-native technologies.
- Apply DevOps principles, including CI/CD, Infrastructure as Code (Terraform), and automated testing to improve delivery efficiency and quality.
- 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 and operational excellence.
- Implement security controls, access management processes, and compliance requirements across data platforms.
- Tertiary qualification in Computer Science, Information Technology, or equivalent industry experience
- 3+ years of experience in data engineering, software engineering, or a 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 experience building scalable, production-grade data pipelines and applications
- Experience with DevOps practices, CI/CD pipelines, Infrastructure as Code, and automated testing frameworks
Deep expertise combined with creativity can take on the trickiest of problems. Join our team of brilliant minds and mentors as we explore our way to innovation and apply technology in more human ways than ever.
Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit checks as a condition of employment.
Please note that applications from agencies will not be considered at this time.
We acknowledge and celebrate the richness that individual differences bring to our team. If you need assistance or an adjustment during the application process, please reach out and let us know.
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