SAP iXp- Data Engineering Center Intern

SAP IT Business Systeme•Springton Pointe Woods, PA

About The Position

As a working student in SAP Next Gen, the intern will contribute to the SAP Client Services | Data Platforms and Agile Delivery | Data Engineering Center team. The role involves building and maintaining production data pipelines, data models, APIs, integrations, MCP servers, and reporting solutions. The intern will work on real deliverables connected to team goals and gain experience with SAP work, supported by mentors, development programs, and a global network of students and early professionals. The office location is Newtown Square.

Requirements

  • Currently a student ready to contribute alongside their studies.
  • A master's degree or higher in Computer Science, Software Engineering, Data Science, Information Systems, AI, or a related technical field.
  • Problem-solving ability and interest in data.
  • Interest in AI, data, cloud, APIs, MCP, or analytics.
  • English communication skills.
  • Willingness to learn and take ownership.
  • Curiosity, adaptability, resilience, creative thinking, clear communication, collaboration, initiative, emotional intelligence, and cultural awareness.

Nice To Haves

  • Basic SQL knowledge.
  • Knowledge of REST APIs or web services.
  • Experience with Power BI, SAP Analytics Cloud, or other reporting tools.
  • ETL experience.

Responsibilities

  • Build and maintain data pipelines that load data from APIs, databases, files, and business systems.
  • Create and improve Azure Data Explorer tables, functions, data models, and KQL queries.
  • Monitor data jobs and help resolve issues promptly.
  • Maintain clear documentation and uphold data quality standards.
  • Create and maintain REST APIs.
  • Build event-driven integrations and workflows using Azure Logic Apps and Azure Functions.
  • Publish and manage APIs through Azure API Management.
  • Implement OAuth 2.0 and Microsoft Entra ID authentication.
  • Design reusable integration and automation solutions.
  • Build MCP servers that provide governed, controlled access to enterprise data and services.
  • Connect data products with Claude, Joule, and other intelligent platforms.
  • Create tools and automated workflows for business users.
  • Support prompt design, testing, and documentation.
  • Build dashboards and reports in Power BI and SAP Analytics Cloud.
  • Improve data quality, documentation, monitoring, and automation workflows.
  • Support data products in SAP Business Data Cloud.

Benefits

  • Access to mentors, development programs, and peers through SAP Next Gen.
  • Flexible working models.
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