Senior AWS Data Engineer — Build Scalable Data Pipelines

Fr Consultancy; Sydney; On-site; AUD 120,000 - 160,000; Full time

Job summary

FR Consultancy in Sydney is seeking a Senior Data Engineer to design and optimize data pipelines using AWS data services, build ETL/ELT processes, and ensure data governance and security across cloud-native platforms.

The ideal candidate has 5+ years in database and data engineering, strong SQL skills, and proficiency in Python/PySpark, with hands-on experience in Redshift and Glue. This is a full-time role based in Sydney with Agile delivery practices.

Qualifications

• 5+ years in database and data engineering.
• Strong SQL skills.
• Proficiency in Python/PySpark.
• Hands-on experience in Redshift and Glue.

Responsibilities

• Design and optimize data pipelines using AWS data services.
• Build and maintain ETL/ELT processes.
• Ensure data governance and security across cloud-native platforms.
• Collaborate within an Agile delivery environment.

Skills

SQL

Python

PySpark

Data engineering

ETL/ELT

Cloud data platforms

Agile

Tools

Redshift

Glue

Job description

FR Consultancy in Sydney is seeking a Senior Data Engineer to design and optimize data pipelines using AWS data services, build ETL/ELT processes, and ensure data governance and security across cloud-native platforms.

The ideal candidate has 5+ years in database and data engineering, strong SQL skills, and proficiency in Python/PySpark, with hands-on experience in Redshift and Glue. This is a full-time role based in Sydney with Agile delivery practices.