NCS Australia
Information Technology And Services
GoogleDataEngineer-GCP
Neural analysis suggests this role is
optimal for mid candidates.
“Google Data Engineer - GCP at NCS Australia. Skills: Data Engineering, GCP, Data Pipelines, Cloud Infrastructure. Build and scale data infrastructure. Transform data into actionable insights”
Industry & Context.
Troubleshooting
Undergo background checking process, Probity checks, Police checks
What They're Looking For.
Must Have
Google Cloud Platform experience, Data Engineer background, Real-time streaming data processing experience, Containerization and orchestration tools experience, Version control systems experience, Deep understanding of DataOps principles, Automated testing for data quality experience, Google Cloud experience, Infrastructure as code experience with Terraform, Scripting in Python or Bash, Applied knowledge of CI/CD concepts, Deployment of platform solutions experience, GCP-based core services experience, Well-versed in networking concepts, Experience designing secure and scalable network architectures on Google Cloud, Security-focused with deep understanding of cloud security principles, Valid work rights for Australia
Nice to Have
GCP Professional Data Engineer Certification, Cloud Architect certification, Cloud DevOps Engineer certification, Cloud Developer certification
What You'll Do.
Build and scale data infrastructure
Transform data into actionable insights
Design data processing systems
Construct data processing systems
Implement data processing systems
Manage data processing systems
Translate business requirements into solutions
Develop data pipelines
Maintain data pipelines
Architect data models
Understand data needs
Ensure data integrity
Monitor production data systems
Troubleshoot production data systems
Implement CI/CD for data pipelines
Explore new data technologies
Recommend new cloud services
How You'll Work.
Team & Collaboration
Work closely with Data Scientists; Work closely with Analysts; Work closely with Software Engineers
Full Job Description
At NCS Australia, we believe in doing technology services better. Our commitment to quality, focus on people, and willingness to challenge traditional thinking set us apart. Our team brings this belief to life by partnering with our clients and communities to make tomorrow together. We are committed to creating an environment that prioritises innovation, collaboration, and purposeful work. Our diverse team is empowered to make a meaningful impact with curiosity, creativity and resilience to shape better outcomes. Join us and accept the challenge of creating a better tomorrow. This role is responsible for building and scaling the massive, reliable data infrastructure that powers critical decisions, product features, and advanced analytics across our organization—impacting billions of users daily. As a Data Engineer, you will be a core architect and builder of our next-generation data pipelines, transforming raw, high-volume data into structured, actionable insights. You will design, construct, implement, and rigorously manage end-to-end data processing systems, focusing on robustness, efficiency, security, and high throughput. Your challenge will be to translate complex, ambiguous business requirements from product managers and data scientists into scalable, fault-tolerant solutions using cutting-edge Google Cloud Platform (GCP) technologies. This includes deep involvement with services like BigQuery, Dataflow, Cloud Composer, and Pub/Sub. Your contributions will be instrumental in enabling data-driven optimization across areas such as product development, machine learning model training, and operational efficiency, making you a vital partner in Google's ongoing innovation. We're looking for an engineer ready to tackle petabyte-scale data challenges and champion data quality across the enterprise. Responsibilities * Design and Build: Develop, test, and maintain scalable data pipelines (ETL/ELT) using technologies like Dataflow (Apache Beam), Composer (Apache Airflow)
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