SAP Data Engineer
Core
Design, build, and maintain robust data pipelines connecting SAP systems (ECC, S/4HANA, BW/4HANA) with cloud-based data platforms (AWS) to enable data-driven decision-making.
Role type
Senior SAP Data Engineer (ETL/ELT & Cloud Integration)
Builds
Modern ETL/ELT architectures, data pipelines, and real-time data flows integrating SAP source systems with enterprise data warehouses and data lakes.
Domain
Enterprise Resource Planning (ERP) data integration, Cloud Data Engineering, SAP Ecosystem
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SAP ECC/S/4HANA/BW/4HANA data modeling, SAP Data Services (BODS), Python, SQL, AWS cloud services, data pipeline orchestration, data quality framework design
Preferred skills
PySpark, AWS Glue, Airflow, NoSQL databases, Redshift, SAP ABAP, SAP Integration Suite, SAP BTP
Technologies
SAP ECC, S/4HANA, BW/4HANA, DataSphere, Data Services, AWS, Redshift, Airflow, PySpark, SQL, ABAP
Responsibilities
Design and implement ETL/ELT architectures integrating SAP source systems with cloud-based data platforms; Develop and maintain robust data pipelines to extract, transform, and load SAP data into enterprise data warehouses and data lakes; Build and manage integrations using SAP Data Services, SAP BW Extractors, ODP, and RFC/BAPI connections; Partner with SAP functional consultants and business stakeholders to grasp data structures, business logic, and transformation requirements; Build data flows into SAP and SAP Analytics Cloud to enhance data available to FP&A team; Administer and optimize SAP-connected databases and data stores to ensure high performance, availability, and data integrity; Monitor and optimize data storage, processing, and pipeline costs across SAP and cloud environments; Design and implement real-time and near-real-time data pipeline architectures (e.g., SAP SLT, SAP CDS Views, event-driven pipelines) for critical business workflows; Develop a robust alerting and data quality framework to detect, escalate, and resolve SAP data discrepancies efficiently; Document data flows, SAP integration patterns, and pipeline architectures to maintain operational knowledge and assist team scalability.
Seniority
Mid-Senior, hands-on IC with mentorship potential