SAP iXp Intern - Client Services Data Engineer

We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

About the SAP Internship Experience Program

 

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers.

 

Three reasons to intern at SAP

 

1.     Culture of collaboration: Meet with mentors, make new friends across the globe, and create a thriving personal network.

2.     Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables. 

3.     Gain visibility: with the SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs, and career development opportunities at your fingertips.

 

 

 

What you’ll do:

 

 

Position title: SAP iXp Intern - Client Services Data Engineer

 

Location: Hybrid - Newtown Square

 

Expected start date: September 2025

 

Duration: 6 - 12 months

 

Working hours: Part-time - Full-time ( 20 - 40 hrs./week)

 

 

 

 

The Data Engineering Center at SAP (DEC) is seeking an intern studying Data Science or a related field to join our team.

 

Within a strong governance model, our team handles data through integration and refining vast amounts of complex raw data from multiple sources into a unified, secure, reliable, and scalable cloud-based repository. This repository enables actionable insights through various distribution channels to our requestors.

 

You will be working primarily in an IT landscape to handle data between different sources and deliver the results to the requests in various formats, to help solve problems, deliver insights, and reports

 

You will face various challenges with ETL (Extract, Transform, Load), such as connecting to data sources, massaging the data on imports, writing queries, scripts, code, and generating reports. 

 

In addition, you will have to adhere to our governance framework and other regulations, especially when there is PII (Personally Identifiable Information) being requested. 

 

Within our data governance framework, you will be working with data sources such as (lots more ….)

 

• SAP HANA
• Qualtrics
• Palo Alto Networks
• Cisco
• Intune
• Defender
• Microsoft DataVerse

 

and using tools such as (lots more…)

 

• Azure Blob Storage
• Azure Data Factory
• Azure Data Explorer
• Azure Logic Apps

 

To connect them to (lots more …)

 

• REST API \ JSON
• PowerBI
• SAP Analytics Cloud
• File exports

 

So that our customers can generate value from the data we have handled for them.

 

 

 

 

What you bring:

 

 

We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful, innovative projects and are energized by lifelong learning.

 

School Requirements

 

• Education: Working to gain a bachelor’s or master’s degree in data science or a related field 
• Eligibility: Must be currently enrolled, or recently graduated (start date must be within 6 months of graduation date) from a coding academy/bootcamp, apprenticeship, associate, bachelor’s, master’s or JD/PhD program.
• Must have completed at least one semester at school

 

Soft Skills

 

• Must have a desire to learn how data engineering works
• Given the tools and documentation necessary for it, they must have the desire to research to find solutions
• Must have a desire to investigate, understand, and explain new technologies and tools
• Must be comfortable with online meetings (Teams) and be able to explain topics clearly

 

 

Technical Skills

 

• Must have a general understanding of ETL
• Must have a general understanding of SQL and be able to write queries
• Must have a general understanding of
  • Microsoft Azure Blob Storage
  • Microsoft Azure Data Factory
  • Microsoft Azure Data Explorer
  • Microsoft Azure Logic Apps
  • Microsoft Power BI
  • Microsoft SharePoint
  • Microsoft Graph
• Good to have an understanding of KQL
• Good to have an understanding of Power Platform
  • Power Apps
  • Power Automate
• Good to have an understanding of Microsoft DataVerse
• Good to have an understanding of regulations regarding Data Privacy (USA & Europe)
• Good to have an understanding of Python.

 

 

 

 

Meet your team:

 

You will be working with a global team of Data Engineers from various departments. We are powered by our passion for helping find solutions to problems with the responsible use of data being generated by SAP. 

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Compensation Range Transparency: SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 15-62 USD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount and any actual payout amount is dependent on company and personal performance. Please reference this link for a summary of SAP benefits and eligibility requirements: SAP North America Benefits.

Requisition ID: 425255 | Work Area:Software-Design and Development  | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Full Time | Additional Locations: #LI-Hybrid