GCP Data Engineer: Build Scalable Data Pipelines

NCS Australia; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Paid parental leave

Discounted health insurance

AI-driven learning platform

Recognition and rewards

Job summary

NCS Australia is seeking a Data Engineer to design and implement scalable data pipelines on Google Cloud Platform. You will transform raw, high-volume data into structured insights, building robust end-to-end data processing systems with BigQuery, Dataflow, and Pub/Sub.

You’ll collaborate with data scientists and engineers to support product analytics and ML initiatives. The role emphasizes performance, security, and operational excellence, enabling petabyte-scale data operations across the

Qualifications

• Experience with Google Cloud Platform (GCP) for large-scale data processing.
• Ability to translate business requirements into scalable data pipelines.
• Strong focus on data quality, security, and governance.

Responsibilities

• Design and Build scalable data pipelines (ETL/ELT) using Dataflow, Composer, and BigQuery.
• Architect data models in BigQuery for performance and cost efficiency.
• Collaborate with Data Scientists, Analysts, and Software Engineers to meet data needs.
• Monitor and troubleshoot production data systems with CI/CD practices.
• Explore new data technologies to improve data architecture and governance.

Skills

BigQuery

Dataflow

Apache Airflow

Pub/Sub

Python

SQL

Kubernetes

Git

Cloud Architecture

Tools

BigQuery

Dataflow

Composer

Pub/Sub

Docker

Kubernetes

Job description

NCS Australia is seeking a Data Engineer to design and implement scalable data pipelines on Google Cloud Platform. You will transform raw, high-volume data into structured insights, building robust end-to-end data processing systems with BigQuery, Dataflow, and Pub/Sub.

You’ll collaborate with data scientists and engineers to support product analytics and ML initiatives. The role emphasizes performance, security, and operational excellence, enabling petabyte-scale data operations across the