Lead Data Engineer (Microsoft Fabric)

About the role

Blend360 is looking for a Lead Data Engineer to drive the design and implementation of enterprise‑wide data pipelines using Microsoft Fabric. You will work across more than 80 ERP systems, ensuring data is clean, integrated, and ready for AI and analytics workloads.

Key responsibilities

• Conduct gap analysis and data mapping across 80+ ERP systems to identify integration challenges.
• Design and develop standardized ETL pipelines and transformation processes for migrating data into Microsoft Fabric.
• Build data quality frameworks and validation rules to guarantee AI‑ready data.
• Lead hands‑on implementation of ETL standards, automation scripts, and repeatable patterns.
• Develop and optimise data models that unify fragmented ERP sources.
• Mentor team members on ETL development, data transformation, and Fabric‑specific practices.
• Document data lineage, transformation logic, and integration patterns for governance.

Required profile

• 5+ years of experience in data engineering, with strong expertise in SQL and Python.
• Proven track record designing and implementing ETL solutions in complex, multi‑source environments.
• Hands‑on experience with enterprise ERP systems and large‑scale data integration.
• Solid understanding of the Azure ecosystem and Microsoft Fabric.

Required skills

• Advanced SQL for complex transformations and performance tuning.
• Python for automation scripting and ETL orchestration.
• ETL design and implementation.
• Data modeling principles for AI and analytics use cases.
• Data quality assessment, validation frameworks, and profiling.
• Azure services and Microsoft Fabric.

What we offer

• Learning opportunities: certifications in AWS, Databricks, Snowflake, AI learning paths, Udemy Business, English lessons.
• Travel to industry conferences and client sites.
• Mentoring and career development programs.
• Flexible working options, company‑provided equipment, and celebration rewards.