Bilingual Admin & Cs (Korean/English)

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

Data Engineer – Azure Data Factory and SQL Database Expertise

Job Description: Data Engineer - Azure Data Factory and SQL Database Expertise

We are seeking a skilled Data Engineer with expertise in Microsoft Azure Data Factory (ADF) and SQL Database to join our dynamic team. The ideal candidate will have a strong background in Data Warehousing, ETL/ELT processes, and building robust data pipelines on Azure cloud platforms. This role is critical to ensuring efficient data modeling, integration, and transformation processes to support business operations and decision‑making.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT processes using Azure Data Factory (ADF) and other Azure cloud services.
• Write and optimize T-SQL procedures for querying, data transformation, and validation in a Data Warehouse environment.
• Develop and maintain metadata‑driven data load frameworks for automated processing.
• Implement dynamic data masking and ensure data security within Azure SQL Databases.
• Perform data modeling to support Data Warehousing and Data Mart architecture.
• Collaborate with stakeholders to gather requirements and provide technical solutions that meet business needs.
• Ensure data quality checks and implement quality management processes.
• Contribute to CI/CD pipeline implementation and management using Azure DevOps.
• Maintain repository management using Git version control.
• Engage in peer programming and contribute to agile project delivery.
• Work with Azure Functions and Logic Apps to extend data integration capabilities.

Essential Criteria

• 5+ years of experience as a Microsoft Azure Cloud ADF Data Engineer, including T‑SQL in a Data Warehouse environment.
• Solid understanding of Data Warehousing and Data Mart Architectures on Azure Cloud.
• Proficiency in SQL for data querying, transformation, and validation.
• Experience in building metadata‑driven frameworks for automation on Azure.
• Strong knowledge of data security practices