Cloud Data Engineer: Pipelines, ETL & Analytics

Pearson Carter; Brisbane; Hybrid; AUD 110,000 - 150,000; Full time

Job summary

Pearson Carter is seeking a Data Engineer to join their Brisbane team, focusing on cloud analytics, data pipelines, and scalable ETL/ELT processes. The role involves building production data pipelines, data models for analytics, and improving data quality across cloud platforms.

The ideal candidate has 3 years’ experience in data engineering, strong SQL and Python skills, and hands‑on experience with AWS/Azure/GCP.

Qualifications

• 3 years’ commercial Data Engineering experience.
• Strong SQL and Python skills.
• Experience building production data pipelines.
• Understanding of ETL/ELT and data modelling.
• Cloud experience with AWS, Azure, or GCP.
• Experience with data integration and APIs.
• Strong problem‑solving and communication skills.

Responsibilities

• Design and build scalable data pipelines
• Develop and maintain ETL/ELT processes
• Integrate data from multiple sources and systems
• Build data models for analytics and reporting
• Improve data quality, reliability, and performance
• Work with cloud‑based data platforms
• Collaborate with engineering, analytics, and business teams

Skills

SQL

Python

Data pipelines

ETL/ELT

Cloud platforms

Tools

AWS

Azure

GCP

Job description

Pearson Carter is seeking a Data Engineer to join their Brisbane team, focusing on cloud analytics, data pipelines, and scalable ETL/ELT processes. The role involves building production data pipelines, data models for analytics, and improving data quality across cloud platforms.

The ideal candidate has 3 years’ experience in data engineering, strong SQL and Python skills, and hands‑on experience with AWS/Azure/GCP.