Senior Data Engineer

About the role

A hands-on senior engineering role owning enterprise databases, warehouses and cloud pipelines while leading a small data team. The focus is on building reliable systems that serve both operations and analytics.

What you will do

• Design and maintain scalable data warehouse solutions using Microsoft Fabric Warehouse and Lakehouse
• Build fact and dimension models and layered data environments for reporting and analytics
• Create and maintain ETL and ELT pipelines with PySpark, Python, SQL and Azure services
• Monitor production pipelines and resolve failures, bottlenecks and data-quality problems
• Optimize T-SQL, indexing and query performance, and set database design standards
• Build CI/CD processes in Azure DevOps and manage automated deployments and version control

What they look for

• Senior-level data engineering experience in a Microsoft-focused environment
• Hands-on skills with Microsoft Fabric, Azure, PySpark, Python and T-SQL
• Experience designing data warehouses and layered architectures
• Ability to work independently and solve complex production issues
• Experience with Azure DevOps, CI/CD and automated deployments
• Knowledge of data governance, security and role-based access controls