Job Description

• Design and implement end-to-end data architectures within Microsoft Fabric, including Synapse Data Warehousing.
• Develop and manage robust data pipelines to extract, load, and transform data from SAP systems (e.g., ECC, S/4HANA, BW).
• Perform data modeling and schema design for enterprise data warehouses in Microsoft Fabric.
• Ensure data quality, security, and compliance standards are met throughout the data lifecycle.
• Collaborate with BI, analytics, and business teams to understand data requirements and deliver trusted datasets.
• Monitor and optimize performance of data processes and infrastructure.
• Document technical solutions and develop reusable frameworks and tools for data ingestion and transformation.

• 3-6 years of experience as a Data Engineer or in a similar role.
• Hands-on experience with Microsoft Fabric including Synapse (Data Warehousing, Notebooks, Spark)
• Strong understanding of data warehouse architecture and dimensional modeling.
• Experience integrating and extracting data from SAP systems, such as:

• SAP ECC or S/4HANA
• SAP BW
• SAP CDS Views or OData Services
• Expertise in data transformation using SQL, PySpark, and/or other ETL tools.
• Strong knowledge of data governance, security, and lineage in enterprise environments.
• Advanced knowledge in SQL, database procedures/packages and dimensional modeling
• Proficiency in Python, and/or DAX is a plus.
• Familiarity with Power BI for downstream reporting (optional but preferred).
• Excellent problem-solving and communication skills.

• Microsoft Certified: Fabric Analytics Engineer Associate or equivalent.
• Prior experience working in cloud environments (Azure preferred).
• Understanding of SAP data structures and SAP integration tools like SAP Data Services, SLT, or RFC/BAPI connectors.
• Experience with DevOps practices and version control (e.g., Git).