Senior Data Engineer

Summary: The Senior Data Engineer will be integral to a major data and analytics initiative, focusing on the design and construction of scalable ETL pipelines. This role requires expertise in modern cloud-based data technologies to facilitate data-driven decision-making across the organization. The position emphasizes collaboration with various stakeholders to ensure data requirements are met effectively. The ideal candidate will have a strong background in data engineering and a proven track record in delivering high-quality data solutions.

Key Responsibilities:

• Develop and maintain ETL pipelines to support data ingestion, transformation, and loading from a variety of sources
• Collaborate with analysts, data scientists, and stakeholders to understand data requirements
• Build well-structured, reusable, and performant data models
• Schedule and monitor workflows using Apache Airflow
• Optimise Snowflake performance and manage data pipelines in a secure, efficient manner

Key Skills:

• Strong experience as a Data Engineer working on large-scale data and analytics projects
• Proven technical expertise in Snowflake, Python, and Apache Airflow
• Deep understanding of ETL best practices and data pipeline architecture
• Ability to work independently and communicate effectively with cross-functional teams
• Familiarity with data governance and quality standards
• Experience with CI/CD in a data environment (desirable)
• Exposure to dbt, Terraform, or other modern data tools (desirable)

Salary (Rate): undetermined

City: Sydney

Country: Australia

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: Senior

Industry: IT