Data Engineer – Databricks & Lakehouse (Power BI Environment)
Position Summary: The Data Engineer will design, build, and optimize scalable data pipelines and curated data products within a modern Lakehouse architecture (Databricks). This role is responsible for delivering high-quality, business-ready datasets (gold layer) that power enterprise analytics and Power BI reporting. The ideal candidate has deep Databricks experience, strong data modeling skills, and a focus on building reliable, testable, and governed data solutions. Exposure to AI-driven development or AI agents is a plus. Work You’ll Do: Data Engineering & Pipeline Development Design, develop, and maintain scalable data pipelines using Databricks and Delta Lake Build and manage transformations across bronze, silver, and gold layers Optimize processing for performance, reliability, and cost Integrate data from ERP, CRM, APIs, and other enterprise systems Data Modeling & Business Logic Develop gold-layer datasets aligned to standardized business definitions Translate business