Senior Data Engineer
Posted Today by Morgan McKinley
Negotiable
Undetermined
Undetermined
Sydney, Australia
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