NCS Australia

Technology

GoogleDataEngineer-GCP

A$135–185k ~AI est. Canberra, Australian Capital Territory, 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. Power critical decisions”

Industry & Context.

Technology
Problems you'll solve

Troubleshoot production data systems

Eligibility Requirements

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)

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