NCS Australia

Technology

GoogleDataEngineer-GCP

A$135–190k ~AI est. Sydney, New South Wales, Australia FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Google Data Engineer - GCP at NCS Australia. Skills: Data Engineering, GCP, Data Pipelines, BigQuery. Build and scale data infrastructure. Transform data into actionable insights”

What You'll Achieve.

Power critical decisions; Power product features; Power advanced analytics; Enable data-driven optimization

Industry & Context.

Technology
Problems you'll solve

Troubleshoot production data systems

Eligibility Requirements

Undergo background checking, Probity checks, 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, Familiarity with containerization and orchestration tools, Experience with version control systems, Deep understanding of DataOps principles, Automated testing for data quality, Previous hands on Google Cloud experience, Experience building infrastructure as code with Terraform, Ability to script in Python or Bash, Applied knowledge of CI/CD concepts, Solutions experience leveraging GCP-based core services, 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

Explore new data technologies

Recommend new data technologies

Enhance data architecture

Enhance data governance

How You'll Work.

Team & Collaboration

Work with Data Scientists; Work with Analysts; Work with Software Engineers

Communication Scope

Translate complex 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)

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