The Data Engineer will design, build, and maintain batch ETL pipelines on a modern Databricks Lakehouse platform, delivering high-quality data solutions that support critical banking functions. You will take ownership of pipelines end-to-end, from ingestion through transformation, quality assurance, and delivery to downstream consumers, including Power BI dashboards and analytical models.

The ideal candidate combines strong technical depth in Spark and Delta Lake with a natural orientation toward documentation, process improvement, and clear communication. This role requires the ability to work autonomously, prioritize effectively across competing demands, and contribute to the ongoing maturation of the team’s engineering practices.

Essential Responsibilities: