We are seeking a results-driven and experienced Senior Data Engineer to support the migration, integration, and transformation of SAP S/4HANA data into a Microsoft Fabric and Azure-based modern data platform.
The ideal candidate will bring a strong background in SAP data migration, dimensional modelling, and SQL-based transformation. This role is well-suited to engineers who can work independently within a hybrid delivery environment and deliver production-ready, high-trust data layers that support finance, procurement, and operational reporting.
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 and implement robust Dimensional (Star Schema) models to support enterprise-level reporting across domains such as finance, procurement, and HR.
- Platform Development: Build and orchestrate ELT pipelines using Microsoft Fabric, Azure Data Factory, and SQL Server.
- Data Quality Assurance: Implement testing and reconciliation routines to ensure the accuracy and auditability of migrated datasets.
- Collaboration & Planning: Work closely with SAP functional consultants and business users to refine transformation logic and align with reporting requirements.
- Documentation & Handover: Produce technical specifications, lineage artefacts, and operational support materials to ensure continuity and maintainability.
Requirements:
- Must have full Australian working rights.
- Experience: 7+ years in data engineering or data platform delivery, with at least 2 full-cycle SAP data migration projects.
- Hands-on experience with Databricks and Fabric (PySpark/SQL) for advanced data processing and transformation.
- Familiarity with ETL/ELT frameworks, data warehousing concepts, and data governance practices
- Technical Skills: Advanced SQL and data transformation techniques across large structured datasets.
- Hands-on experience with Azure Data Factory, Microsoft Fabric, and related Azure services.
- Proven capability in building Dimensional Models for BI and analytics reporting.
- SAP Experience: Robust understanding of SAP data structures (e.g., IDOCs, tables, hierarchies) and integration requirements.
- Delivery Readiness: Must be available to commence within 2 weeks and capable of operating independently in a hybrid agile setting.
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📌 Data Engineer – SAP S/4 Migration & Microsoft Fabric
🏢 D2i Consulting
📍 Melbourne