We are looking for an experienced GCP Data Engineers to join a leading AI & Data practice, designing, building, and maintaining scalable data platforms and data pipelines on Google Cloud Platform (GCP) .

Working across cloud, data, analytics, and AI transformation programs, you will collaborate with architects, product teams, engineers, and business stakeholders to develop secure, reliable, and high-performing data solutions. This role offers the opportunity to work across the full data engineering lifecycle, supporting enterprise data platforms, DataOps automation, CI/CD delivery, and modern analytics capabilities.

Contract Summary

- Rate: Based on experience
- Clearance: Baseline or above
- Employment Type: 12 month Contract or Permanent
- Work Model: Hybrid
- Location: Melbourne (Preference) will also look at Canberra and Brisbane

Responsibilities

- Design, develop, test, and maintain scalable data pipelines and data platform solutions on Google Cloud Platform.
- Translate functional and technical requirements into detailed data engineering designs.
- Build and maintain ELT/ETL frameworks supporting enterprise data integration and transformation.
- Develop batch and real-time data ingestion, processing, and integration pipelines.
- Design and optimise cloud-native data storage and processing solutions.
- Collaborate with business stakeholders, architects, product teams, and engineers to deliver high-quality data engineering outcomes.
- Troubleshoot and resolve complex data engineering and platform issues.
- Develop, implement, and support DataOps automation and CI/CD pipelines for data solutions.
- Automate the development, testing, deployment, and monitoring of data pipelines.
- Monitor, optimise, and improve data processing performance, scalability, and reliability.
- Ensure data quality,



integrity, accuracy, and availability across enterprise data platforms.
- Support data governance, metadata management, security, and compliance initiatives.
- Promote engineering best practices, reusable frameworks, and continuous improvement across delivery teams.

Skills & Experience

- 3–5+ years' experience delivering data engineering solutions on Google Cloud Platform (GCP) .
- Experience designing, developing, and maintaining enterprise data pipelines and cloud data platforms.
- Robust experience with GCP services including BigQuery, Dataflow, Dataprep, Cloud Storage , and other GCP-native data engineering services.
- Experience building and supporting batch and real-time ELT/ETL pipelines.
- Strong SQL development skills and experience working with complex data structures.
- Strong programming skills in Python , Java , or Scala .
- Experience implementing DataOps practices, CI/CD pipelines, and deployment automation.
- Experience with physical data modelling, data warehousing, and enterprise data integration.
- Experience working with data warehouse platforms such as BigQuery , Snowflake , Teradata , Oracle Exadata , Azure Synapse , or similar technologies.
- Strong understanding of data governance, security, data quality, and metadata management.
- Excellent analytical, problem-solving, stakeholder engagement, and communication skills.
- Experience working within Agile, multidisciplinary delivery teams.

Highly Regarded

- Experience working within government or highly regulated industries.
- Experience with Infrastructure as Code (Terraform), DevOps, and cloud automation.
- Experience mentoring junior engineers or contributing to engineering capability uplift.
- Experience supporting enterprise analytics, AI, or machine learning platforms.

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📌 Data Engineer (Melbourne)
🏢 Libran IT
📍 Melbourne