We are looking for an experiencedGCP Data Engineersto join a leading AI & Data practice, designing, building, and maintaining scalable data platforms and data pipelines onGoogle 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 chance 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 onGoogle Cloud Platform (GCP).
Experience designing, developing, and maintaining enterprise data pipelines and cloud data platforms.
Strong experience with GCP services includingBigQuery, 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 inPython,Java, orScala.
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 asBigQuery,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.
#J-*****-Ljbffr

📌 Data Engineer (Melbourne)
🏢 Libran IT
📍 Melbourne