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GCP Data Engineer
Melbourne, VIC, AU, 3008
Actively hiring, first seen by us 7 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign and implement scalable, secure data solutions on GCP
Build and maintain batch and real-time data pipelines
Apply CI/CD, Terraform infrastructure as code and automated testing
Ensure data quality through validation, monitoring and governance controls
Optimise pipelines and storage for performance and cost efficiency
From the employer’s posting
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
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.
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 27
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Insignia Financial is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Java
- Python
- BigQuery
- GCP
- Terraform
Where the posting names them
- 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
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.
- 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
The opportunity to join our 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:
- 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.
Your next step
Complete your application on careers.insigniafinancial.com.au. The employer’s form will show what is required.
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About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
- Work with Modern Cloud & Data Technologies
- Career development and learning opportunities focussed on GCP
- Be a part of a talented and passionate team
The opportunity to join our 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.
What you will bring:
- 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
People-inspired tech
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.
To Apply
Read more about why you should join our team https://www.insigniafinancial.com.au/careers/working-with-us/why-join-our-team.
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.
Source details
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- Pay
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- Location & working pattern
Melbourne, VIC, AU, 3008
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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