SAP Data Engineer

Nous is looking for an experienced SAP Data Engineer with deep expertise in SAP Datasphere (formerly SAP Data Warehouse Cloud) and its integration with SAP S/4HANA Public Cloud, with a strong focus on data replication and virtualization.

Job Description:

• Provide strategic guidance on data virtualization vs. replication to enhance data efficiency across SAP systems.
• Collaborate closely with Business Analysts to support the Enterprise Analytics platform.
• Deliver critical daily insights into financial, sales, and operational metrics.
• Oversee data flows, ensuring optimized real-time reporting and seamless cloud data integration.
• Manage SAP Data Sphere in coordination with SAP SAC for data replication, virtualization, and reporting efficiency.
• Lead SAP Data Sphere Space Management, including Connections, Data Builder, Business Builder, and Analytic Models.
• Integrate SAP Data Sphere with SAP S/4HANA, ABAP CDS views, Snowflake, Azure Data Lake, and other systems to establish efficient data pipelines.
• Develop and maintain ETL/ELT processes to ensure accurate data migration, governance, and compliance.
• Design and optimize scalable data models, supporting both batch and streaming data for structured and unstructured datasets.
• Implement SAP SAC live connections, create dashboards, and optimize performance for large-scale data analytics.
• Collaborate with data scientists to integrate AI/ML models and predictive analytics into business workflows.
• Ensure data security, governance, and observability in compliance with enterprise data policies.
• Design and maintain data virtualization solutions to minimize physical data movement and reduce system complexity and costs.

Skills and Experience Required:

• Experience in SAP Analytics Cloud (SAC) and reporting tools like Power BI and Analysis for Office.
• Strong expertise in SAP Datasphere, S/4HANA Embedded Analytics, and SAP BTP.
• Hands-on experience with Python, Java, Spark, and SQL for advanced data transformation, replication, and integration.
• Knowledge of SAP Fiori UI5 for enhanced reporting and visualization.
• Experience in managing large-scale enterprise analytics and data integration projects.