Azure Data Engineer / Databricks Engineer

Job Description

Project Overview

Marsh MMA is undertaking a major modernization initiative to unify its currently fragmented Azure data and analytics ecosystem. The goal is to migrate existing systems to a Databricks-native platform , improving operational efficiency, eliminating data duplication, reducing latency, and strengthening compliance, security, and scalability across the organization.

This role will support the enablement of the Databricks platform and the migration of legacy data systems into the new architecture.

Key Responsibilities

• Design, build, and optimize scalable data pipelines using Azure Data Factory , Azure Functions , and Databricks .
• Lead migration efforts from existing systems into the new Databricks-native environment .
• Develop, maintain, and optimize SQL queries , data models, and ETL / ELT workflows.
• Integrate data from various sources such as Azure SQL Database , Azure Data Lake , and Azure Storage .
• Implement best practices for data governance, quality, lineage, and security across the new unified platform.
• Collaborate with architects, analysts, and business stakeholders to gather requirements and translate them into technical solutions.
• Troubleshoot, debug, and optimize data processes to minimize latency and ensure system reliability.
• Support Databricks platform enablement, including cluster configuration, performance tuning, and workspace setup.

Required Technical Skills

Preferred Skills (Nice to Have)

Nationality

Any

Iqama

Resident