Data Engineer – SAP HANA to Microsoft Fabric

Job Description: Data Engineer – SAP HANA to Microsoft Fabric Migration

Location: Sydney, NSW

Role: Data Engineer / Senior Data Engineer

Primary Skill: Microsoft Fabric

Secondary Skill: SAP HANA

Experience: 7-10 Year

Role Overview

We are looking for an experienced Data Engineer with strong hands-on expertise in Microsoft Fabric and working knowledge of SAP HANA to support a large-scale SAP HANA to Microsoft Fabric migration and modernization program .

Key Responsibilities

• Design and develop scalable data solutions using Microsoft Fabric .
• Support migration of existing SAP HANA data workloads to Microsoft Fabric .
• Develop and maintain Fabric Data Pipelines for data ingestion and orchestration.
• Build transformation and processing solutions using Fabric Data Engineering, Lakehouse, Notebooks, Spark/PySpark, and SQL .
• Migrate and optimize SAP HANA datasets, tables, views, and existing data integration workloads.
• Implement incremental loads, pipeline parameterization, error handling, monitoring, and data validation .
• Perform source-to-target mapping, reconciliation, and post-migration data validation.
• Optimize data pipelines and Fabric workloads for performance and reliability.
• Collaborate with SAP, Microsoft/Azure, architecture, and business teams during migration, testing, cutover, and stabilization.
• Prepare technical documentation covering migration design, data mapping, pipelines, and operational processes.

Mandatory Skills

• Strong hands-on experience with Microsoft Fabric
• Fabric Data Factory / Data Pipelines
• Fabric Lakehouse
• OneLake
• Fabric Notebooks
• Spark / PySpark
• Strong SQL skills
• Data ingestion, transformation, and ETL/ELT development
• Experience with data migration and modernization
• Working experience with SAP HANA , including HANA tables, views, and data extraction
• Data validation and reconciliation experience

Good-to-Have Skills

• SAP HANA to Microsoft/Azure migration experience
• Azure Data Factory
• Azure Data Lake Storage Gen2
• Azure Databricks
• Delta Lake / Delta tables
• Fabric Warehouse
• Power BI
• CI/CD and Azure DevOps
• Data governance and security concepts