Senior Data Engineer - Databricks & ETL Pipelines (Hybrid)

UST is seeking an experienced Data Engineer to design, build and optimise enterprise-scale data ingestion pipelines. You will work with Databricks, PySpark and SparkSQL to transform data from vendor platforms into the client data ecosystem, ensuring secure, governed, and accessible data for reporting and analytics.

The role requires strong experience with SFTP-based ingestion, cloud technologies and data modelling, and collaboration with analysts, product owners and architects in an Agile