Senior Azure Data Engineer: ADF, SQL & Data Warehousing

Timeless; Sydney; On-site; AUD 120,000 - 170,000; Full time

Job summary

Timeless is seeking a skilled Data Engineer with Azure Data Factory and SQL Database expertise to join a dynamic data team in Sydney, Australia. The role focuses on building robust data pipelines, data modeling for warehousing, and ensuring data quality and security across Azure services.

The candidate should bring 5+ years of Azure cloud data engineering experience, strong T-SQL capabilities, and a solid understanding of data governance and CI/CD practices within a modern cloud environment.

Qualifications

• 5+ years of experience with Azure Data Factory in a Data Warehouse environment.
• Strong SQL skills for data querying, transformation and validation.
• Experience building metadata-driven data load and automation frameworks.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Data Factory.
• Write and optimize T-SQL procedures for data processing and validation.
• Develop metadata-driven frameworks for automated processing and data loading.
• Ensure data security within Azure SQL Databases and implement masking where applicable.
• Support CI/CD and Git workflows, and collaborate in an agile environment.

Skills

Azure Data Factory

T-SQL

Data Warehousing

Metadata-driven automation

Azure SQL Database

Job description

Timeless is seeking a skilled Data Engineer with Azure Data Factory and SQL Database expertise to join a dynamic data team in Sydney, Australia. The role focuses on building robust data pipelines, data modeling for warehousing, and ensuring data quality and security across Azure services.

The candidate should bring 5+ years of Azure cloud data engineering experience, strong T-SQL capabilities, and a solid understanding of data governance and CI/CD practices within a modern cloud environment.