Data Engineer – Databricks & Lakehouse (Power BI Environment)

About the role

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.

What 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

What you need

• 8–14 yrs of experience
• Databricks
• Power BI
• SQL
• Python
• Spark
• ETL
• Any graduate

Good to have

• Azure Data Factory
• Data modelling
• CI/CD
• ERP
• CRM