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: Google Cloud Platform (GCP), Data Engineering, Data Pipelines (ETL/ELT), BigQuery, Dataflow, Pub/Sub, Terraform, Python. building and scaling data infrastructure. designing, constructing, implementing, and managing end-to-end data processing systems”
What You'll Achieve.
powering critical decisions, product features, and advanced analytics; transforming raw, high-volume data into structured, actionable insights; enabling data-driven optimization across areas such as product development, machine learning model training, and operational efficiency
Industry & Context.
translate complex, ambiguous business requirements into scalable, fault-tolerant solutions; troubleshoot production data systems
valid work rights for Australia, willing to undergo a comprehensive background checking process, including probity and police checks
What They're Looking For.
Must Have
background and experience in Google (GCP), background as a Data Engineer, Experience with real-time streaming data processing using technologies like Pub/Sub and Dataflow Streaming, Familiarity with containerization and orchestration tools (e. g. , Docker, Kubernetes), Experience with version control systems (e. g. , Git), Deep understanding of DataOps principles and automated testing for data quality, Previous experience in a similar role as a Cloud Engineer developing, implementing or managing secure Google Cloud solutions at an enterprise level, Previous hands on Google Cloud experience, Previous experience building infrastructure as code with Terraform at an advanced level, Ability to script in at least one of the following languages: Python, Bash, Applied knowledge of CI/CD concepts and deployment of platform solutions, Solutions experience leveraging GCP-based core services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc., Be well-versed in networking concepts, including virtual private clouds (VPCs), subnets, load balancing, firewalls, and DNS, Experience designing secure and scalable network architectures on Google Cloud, Security-focused with a deep understanding of cloud security principles, threats, and mitigation techniques, valid work rights for Australia, willing to undergo a comprehensive background checking process, including probity and police checks
Nice to Have
GCP Professional Data Engineer Certification, Hold one more of the following Professional Level Google Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Google Cloud certifications
What You'll Do.
building and scaling data infrastructure
and managing end-to-end data processing systems
translating complex business requirements into scalable
fault-tolerant solutions
and maintain scalable data pipelines (ETL/ELT)
Architect and optimize data models within BigQuery
Monitor and troubleshoot production data systems
Explore and recommend new data technologies and cloud services
How You'll Work.
Team & Collaboration
Work closely with Data Scientists, Analysts, and Software Engineers to understand data needs and ensure data quality, integrity, and security across all platforms
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.