Migration Data Engineer SAP S/4HANA
We are seeking a results-driven and experienced Senior Migration Data Engineer to support the integration, transformation of SAP S/4HANA data into modern data platforms.
The ideal candidate will bring strong background in SAP data migration, dimensional modeling, SQL-based transformation, extract, transform and load structured data from SAP ECC and S/4 systems into Fabric/Azure platforms ensuring traceability and completeness.
Key Responsibilities:
* SAP Data Migration Integration: Extract transform and load structured data from SAP ECC and S/4 systems into Fabric/Azure platforms ensuring traceability and completeness.
* Data Modelling: Design implement robust Dimensional Star Schema models to support enterprise-level reporting across domains such as finance procurement HR.
* Platform Development: Build orchestrate ELT pipelines using Microsoft Fabric, Azure Data Factory, SQL Server.
* Data Quality Assurance: Implement testing reconciliation routines to ensure accuracy auditability of migrated datasets.
* Collaboration Planning: Work closely with SAP functional consultants business users to refine transformation logic align with reporting requirements.
* Documentation Handover: Produce technical specifications lineage artefacts operational support materials to ensure continuity maintainability.
Requirements:
* Must have full Australian working rights.
* Experience 7+ years in data engineering or data platform delivery at least 2 full-cycle SAP data migration projects.
* Hands-on experience with Databricks Fabric PySpark/SQL for advanced data processing transformation.
* Familiarity with ETL/ELT frameworks data warehousing concepts data governance practices.
* Technical Skills: Advanced SQL data transformation techniques across large structured datasets.
* Hands-on experience with Azure Data Factory Microsoft Fabric related Azure services.
* Proven capability in building Dimensional Models for BI analytics reporting.
* SAP Experience: Strong understanding of SAP data structures IDOCs tables hierarchies integration requirements.
* Delivery Readiness: Must be available to commence within 2 weeks capable of operating independently in hybrid agile setting.