Data Engineer — GCP Pipelines & Airflow

Kaizen Global Technologies; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Kaizen Global Technologies is seeking an experienced Data Engineer to design, develop, and manage scalable data pipelines and cloud data platforms using GCP, Python, SQL, and Airflow. You will build ETL/ELT workflows, design data models, and optimize BigQuery workloads to support analytics and dashboards.

The role emphasizes data quality, governance, security, and collaboration with analysts, data scientists and stakeholders to deliver reliable data products.

Qualifications

• Strong Python and SQL experience.
• Experience building ETL/ELT pipelines and data integration.
• Data modelling, transformation and optimization.
• Knowledge of data quality, governance and security.

Responsibilities

• Build and maintain scalable data pipelines on GCP.
• Develop ETL/ELT workflows using Python and SQL.
• Design data models and optimize BigQuery workloads.
• Support dashboards and analytics using Looker Studio and ensure data quality, security, reliability and performance.
• Collaborate with analysts, data scientists and business stakeholders.

Skills

Python

SQL

Data pipelines

ETL/ELT

Data modelling

Data quality

Security

Tools

Apache Airflow

Cloud Composer

BigQuery

Looker Studio

Kafka

Docker

Job description

Kaizen Global Technologies is seeking an experienced Data Engineer to design, develop, and manage scalable data pipelines and cloud data platforms using GCP, Python, SQL, and Airflow. You will build ETL/ELT workflows, design data models, and optimize BigQuery workloads to support analytics and dashboards.

The role emphasizes data quality, governance, security, and collaboration with analysts, data scientists and stakeholders to deliver reliable data products.