Description
The Intermediate Analytics Engineer builds silver and gold data models in Databricks using Lakeflow Declarative Pipelines and dimensional modelling, defines certified metrics in gold tables and Unity Catalog metric views, adds data-quality checks, and ships changes through Git, pull requests, GitHub Actions, and Databricks Asset Bundles. The role supports a BW-to-Databricks migration, owns end-to-end model delivery, and requires a bachelor's degree or equivalent practical experience plus 3 to 5 years of analytics engineering, data engineering, or advanced analytics experience.
