Mid Level Ai Data Engineer

📋 Description

• Develop data transformations and analytical models using Azure Databricks, Azure Data Factory
• Build and maintain Bronze, Silver, Gold layers and semantic models for business insights.
• Translate business requirements into scalable data models and document corporate metrics.
• Ensure data quality, testing, observability, governance, and documentation across data products and
• Support datasets for Analytics applications and AI-powered agents.
• Apply AI across SDLC including code generation, testing, refactoring, debugging, and automation.

🎯 Requirements

• Advanced SQL with data modeling, warehousing or lakehouse architectures.
• Hands-on Databricks and Python for data engineering and analytics.
• Experience delivering reliable data solutions with quality, governance, testing, observability, and
• Proficiency with GitHub and modern version control.
• Understanding of the full SDLC from design to operations.
• Practical experience using AI throughout development, including code generation, testing, and

🎁 Benefits

• Health and dental insurance.
• Meal and food allowances.
• Childcare assistance.
• Extended parental leave.
• Wellbeing benefits and wellness partnerships.
• Profit-sharing program (PLR).