Data Engineer

• Work with modern cloud tech, flexible hybrid setup, and high-impact projects
• Boost your career on high-impact projects

About Our Client

Our client is a major Australian financial services organisation, headquartered in Sydney, with a strong focus on digital transformation and customer-centric innovation. They manage millions of customer accounts nationwide and are investing heavily in cloud-based data platforms to enhance risk management, compliance, and personalised services.

Job Description

• Develop and maintain ETL pipelines to integrate data from multiple sources
• Build and optimize data models for analytics and reporting platforms
• Collaborate with analysts, data scientists, and business stakeholders to deliver high-quality datasets
• Implement best practices in data governance, security, and performance tuning
• Support migration and integration projects across cloud platforms (AWS/Azure/GCP)

The Successful Applicant

• Proven experience as a Data Engineer (3+ years in contract or permanent roles)
• Strong proficiency in SQL, Python, and ETL frameworks
• Hands-on experience with cloud data services (AWS Glue, Azure Data Factory, GCP BigQuery)
• Familiarity with data warehousing (Snowflake, Redshift, Synapse)
• Excellent problem-solving skills and ability to work in agile teams

What's on Offer

• Work on high-impact projects with leading Australian enterprises
• Exposure to modern cloud-based data platforms
• Flexible hybrid working arrangements
• Opportunity to extend beyond the initial contract

If you're ready to bring your expertise as a Data Engineer to a challenging and rewarding role, we encourage you to apply today!