Hybrid QA Data Engineering Lead - Databricks
Summary
Leads a QA data engineering team at SMBC, validating large-scale ETL pipelines on Databricks (Bronze/Silver/Gold layers) using SQL, Python and PySpark. Defines testing governance and data-quality standards; hands-on hybrid role requiring at least three days a week in the Tralee office.
SMBC Group is seeking an experienced QA Data Engineering Lead to ensure data quality across Databricks platforms. This hands-on leadership role focuses on validating large-scale data pipelines using SQL, Python, PySpark and Databricks, reporting to the Director of Quality Assurance Testing.
You will lead a team of QA engineers, define testing governance, and drive ETL testing across Bronze, Silver and Gold layers, with hybrid work and attendance at the Tralee office at least three days a week.