NCS Australia
Technology
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, BigQuery. Build and scale data infrastructure. Power critical decisions”
Industry & Context.
Troubleshoot production data systems
Valid work rights for Australia, 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, Containerization and orchestration tools, Version control systems, DataOps principles, Automated testing for data quality, Google Cloud solutions experience, Infrastructure as code experience, Scripting in Python or Bash, CI/CD concepts, GCP core services experience, Networking concepts knowledge, Secure network architectures, Cloud security principles knowledge
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
Power critical decisions
Power product features
Power advanced analytics
Architect next-generation data pipelines
Create structured insights
Design data processing systems
Construct data processing systems
Implement data processing systems
Manage data processing systems
Translate business requirements
Develop scalable data pipelines
Test scalable data pipelines
Maintain scalable data pipelines
Architect data models
Support analytical workloads
Understand data needs
Ensure data integrity
Monitor production data systems
Troubleshoot production data systems
Explore new data technologies
Recommend new data technologies
Enhance data architecture
Enhance data governance
Develop secure Google Cloud solutions
Implement secure Google Cloud solutions
Manage secure Google Cloud solutions
Build infrastructure as code
Deploy platform solutions
Leverage GCP core services
Design secure network architectures
Mitigate security threats
How You'll Work.
Team & Collaboration
Work with Data Scientists; Work with Analysts; Work with Software Engineers; Cross-functional teams
Communication Scope
Translate business requirements
Process & Methodology
CI/CD
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)
Applying for this Google Data Engineer - GCP role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about NCS Australia?
Real rants from real employees. Read before you apply.