GCP Data Engineer: Scale BigQuery & Dataflow Pipelines

Ncs Australia; Australia; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Paid parental leave

Discounted health insurance

AI-driven learning platform

Career development programs

Job summary

NCS Australia is seeking a Data Engineer to build and scale massive data pipelines on Google Cloud Platform, turning raw data into actionable insights used across product, ML, and operations.

You will design end-to-end data processing systems focused on robustness, security, and high throughput, leveraging BigQuery, Dataflow, Cloud Composer, and Pub/Sub to support petabyte-scale workloads and data quality commitments.

Qualifications

• Experience designing and building scalable data pipelines.
• Strong understanding of data quality, governance, and security.
• Proficiency with cloud-based data processing (GCP) and modern analytics stacks.

Responsibilities

• Design, build, and maintain scalable data pipelines (ETL/ELT) on GCP.
• Architect data models in BigQuery for performance and cost efficiency.
• Collaborate with Data Scientists, Analysts, and Software Engineers to meet data needs.

Skills

Data engineering

ETL/ELT design

Cross-functional collaboration

Tools

BigQuery

Dataflow

Cloud Composer

Pub/Sub

Kubernetes

Job description

NCS Australia is seeking a Data Engineer to build and scale massive data pipelines on Google Cloud Platform, turning raw data into actionable insights used across product, ML, and operations.

You will design end-to-end data processing systems focused on robustness, security, and high throughput, leveraging BigQuery, Dataflow, Cloud Composer, and Pub/Sub to support petabyte-scale workloads and data quality commitments.