SAP Data Engineer

Job Summary

We are looking for an experienced SAP Data Engineer with strong expertise in SAP analytics, data integration, reporting, and process mining
. The role involves working with SAP and non-SAP data sources to deliver insights, dashboards, and process optimization solutions that support business decision‑making and operational efficiency.

• Build and manage data pipelines and integrate data using SAP Data Services (BODS) and SAP SLT
  .
• Design, develop, and implement analytical solutions using SAP BI/BO, SAP Datasphere, and SAP Analytics Cloud (SAC).
• Develop and maintain data models and reporting solutions with Power BI
  , SAP Analytics Cloud (SAC), and SAP BO
  .
• Work with Azure Synapse Analytics for data warehousing, querying, and performance optimization.
• Integrate SAP and non‑SAP data sources into enterprise data platforms
  , ensuring seamless data flow and availability for analytics.
• Perform process mining to identify inefficiencies, bottlenecks, and areas for improvement in business processes using tools such as SAP Signavio Process Intelligence or Celonis
  .
• Collaborate with business and technical teams to translate process mining insights into actionable data‑driven recommendations.
• Ensure data accuracy, consistency, and reliability across analytics and process mining solutions.
• Maintain and optimize data integration workflows for real‑time and batch processing using SAP and third‑party tools.
• Follow best practices for data governance, security, and analytics.
• Provide documentation and support for developed data solutions.

• 5–8 years of experience as Data Engineer or Data Analyst with a focus on SAP systems and analytics.
• Strong hands‑on experience with:
  • SAP Data Services (BODS)
  • SAP BI/BO
  • SAP Datasphere
  • SAP SLT
  • SAP Analytics Cloud (SAC)
  • Power BI
  • Synapse Analytics
  • Process Mining tools (e.g.,
    SAP Signavio Process Intelligence
    , Celonis
    , or similar)
• Strong knowledge of data warehousing, ETL architecture, and data integration.
• Advanced SQL skills for data modeling and querying.
• Experience with S/4
  
  HANA or SAP data models is a plus.

• Experience with S/4
  
  HANA embedded analytics
  .
• Knowledge of Azure cloud services (ADLS, ADF>
• Process mining certifications (e.g.,
  onis
  , SAP Signavio
  ).
• Familiarity with data governance
  , master data management
  , and data security best practices.

• Excellent problem‑solving and analytical skills.
• Strong communication skills with the ability to work closely with technical and business teams.
• Ability to work independently and manage multiple tasks.
• Strong attention to detail and commitment to data quality.
• Excellent command of Arabic.