Senior Data Engineer Microsoft Fabric (with SAP Data Integration)

As a Data Engineer at Kaaspro, you will play a crucial role in designing, developing, and maintaining data pipelines using Microsoft Fabric. You will be responsible for integrating data from SAP and other enterprise systems into Microsoft Fabric/cloud data platforms while ensuring data quality, integrity, and security at every stage of the pipeline. Your collaboration with business stakeholders to understand data requirements and translate them into technical solutions will be vital. Additionally, you will optimize and monitor data workflows for performance and scalability, contribute to the overall data architecture and best practices, and work with cross-functional teams to deliver analytics-ready datasets. **Key Responsibilities:** - Design, develop, and maintain data pipelines using Microsoft Fabric. - Integrate data from SAP and other enterprise systems into Microsoft Fabric/cloud data platforms. - Ensure data quality, integrity, and security across all stages of the pipeline. - Work closely with business stakeholders to understand data requirements and translate them into technical solutions. - Optimize and monitor data workflows for performance and scalability. - Contribute to the overall data architecture and best practices. - Collaborate with cross-functional teams to deliver analytics-ready datasets. **Qualifications Required:** - 4+ years of hands-on experience in Microsoft Fabric (Data Factory, Synapse/Data Engineering, Lakehouse, Pipelines). - Strong understanding of data integration from SAP systems (SAP ECC, SAP BW, SAP HANA, or SAP Data Services). - Proficiency in ETL/ELT processes and data modeling. - Experience with cloud environments (Azure preferred). - Knowledge of data governance, security, and compliance practices. - Strong problem-solving skills and attention to detail. - Excellent communication and teamwork abilities. At Kaaspro, you will be offered a competitive salary and benefits package along with a flexible work environment (Remote/Hybrid). You will have the opportunity to work on cutting-edge data platform projects in a supportive, collaborative team culture focused on innovation.,