(Junior) Data Engineer - Integration & AI

Posted Yesterday
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Prague, CZE
Hybrid
Junior
Artificial Intelligence • HR Tech • Information Technology • Software • Database • Cybersecurity • Big Data Analytics
At SAP, we grow, we lead, we innovate. As colleagues, we support, challenge, and inspire one another every day.
The Role
Design, develop, test, and maintain enterprise integration and data engineering solutions using SAP Integration Suite, Databricks, APIs, databases, and cloud technologies. Build data pipelines, apply AI-enabled data quality and validation capabilities, and integrate applications across complex enterprise environments. Collaborate with AI experts and project teams to translate requirements into scalable solutions while developing expertise in SAP integration and modern data technologies.
Summary Generated by Built In
Job Description

Are you interested in working at the intersection of data engineering, integration, and artificial intelligence? Do you enjoy connecting systems, working with data, and exploring how AI can improve the way businesses operate?

We are looking for a Data Engineer with a focus on Integration and AI to join our global team in Prague. In this role, you will work alongside integration and AI experts to design and develop data solutions that connect applications, APIs, databases, and modern data platforms.

You will have the opportunity to work with SAP Integration Suite, Databricks, cloud technologies, and AI-enabled solutions, while developing your skills in data engineering and enterprise integration.

What you'll bring

  • Essential knowledge of AI/ML concepts, with preferred experience working with AI/ML workflows or integrating AI-driven capabilities into applications and data solutions.
  • Foundational knowledge of SQL and programming skills in Python or Java.
  • Understanding of data pipelines, ETL/ELT concepts, and how data flows between applications and systems.
  • Familiarity with data preparation, data validation, and data profiling.
  • Interest in or exposure to cloud platforms and modern data technologies; experience with Databricks or similar platforms is a plus.
  • Interest in enterprise integration and willingness to develop expertise in SAP Integration Suite and SAP Business Technology Platform.
  • Strong communication skills in English and the ability to work effectively in an international, collaborative environment.
  • A university degree in Computer Science, Engineering, Data Science, Information Technology, or a related field. We also welcome early-career professionals who have gained relevant experience through internships, student placements, or a junior role in integration, data engineering, consulting, or a related field.

What you'll build

  • Be part of a global team of integration and AI experts working on innovative data and integration solutions.
  • Design, develop, test, and maintain integration solutions using SAP Integration Suite.
  • Integrate data from APIs, databases, applications, and other enterprise systems using SAP technologies and Databricks.
  • Apply AI-enabled capabilities to improve data quality checks, data validation, and data processing.
  • Work closely with AI experts and project teams to translate project requirements into robust and scalable data solutions.
  • Learn and apply SAP integration and data engineering best practices while working on real-world projects.

Where you belong

You will join a global team working at the intersection of integration, data engineering, and AI. Our team helps connect applications and data across complex enterprise landscapes and explores new ways to use AI to create intelligent and efficient data solutions.

You will collaborate with colleagues from different technical areas and have the opportunity to learn from skilled integration and AI specialists. Together, we build solutions that help customers make better use of their data and adopt modern cloud and AI technologies.

This is an opportunity to grow your technical skills while contributing to projects involving SAP Integration Suite, data engineering, cloud technologies, and AI. 

Equal Employment Opportunity (EEO) Statement

Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Additional Information

About SAP
With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives.
As a leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience.
 
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 complete your application, please send an email with your request to the Recruiting Operations Team: [email protected].
 
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 age, race, religion, national origin, ethnicity, gender (including pregnancy and childbirth), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
 
Successful candidates might be required to undergo a background verification with an external vendor.
 
AI Usage in the Recruitment Process
 
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.
 
Please note that any violation of these guidelines may result in disqualification from the hiring process.

Skills Required

  • Essential knowledge of AI and machine learning concepts
  • Foundational knowledge of SQL
  • Programming skills in Python or Java
  • Understanding of data pipelines and ETL/ELT concepts
  • Understanding of data flows between applications and systems
  • Familiarity with data preparation, data validation, and data profiling
  • Interest in or exposure to cloud platforms and modern data technologies
  • Interest in enterprise integration
  • Strong English communication skills
  • Ability to work effectively in an international, collaborative environment
  • University degree in Computer Science, Engineering, Data Science, Information Technology, or a related field
  • Experience with AI/ML workflows or integrating AI-driven capabilities
  • Experience with Databricks or similar platforms
  • Experience with SAP Integration Suite and SAP Business Technology Platform
  • Relevant experience through internships, student placements, or a junior role in integration, data engineering, consulting, or a related field

SAP Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SAP and has not been reviewed or approved by SAP.

  • Fair & Transparent Compensation — Pay is considered competitive and fair overall, with satisfaction higher in certain roles and geographies, especially sales with strong on‑target earnings. Feedback suggests compensation is above average for a large enterprise software employer even if not at the very top of the tech market.
  • Leave & Time Off Breadth — Generous paid time off, holidays, volunteer time, and a formal sabbatical option are part of the total rewards. These offerings contribute meaningfully to overall value even when base salary alone may feel mid‑pack.
  • Healthcare Strength — Comprehensive medical, dental, and vision coverage, plus HSAs/FSAs and mental‑health support, form a robust core of the package. Paired with other coverages, this breadth reinforces strong total compensation value.

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The Company
HQ: Walldorf
105,328 Employees
Year Founded: 1972

What We Do

SAP is one of the world’s leading producers of software for business process management. Today, SAP has over 250 million cloud users and more than 100 solutions covering all industries and business functions. Every day, we help companies and organizations of all sizes and industries to run their businesses profitably, to adapt continuously, and grow sustainably.

Why Work With Us

At SAP, we help the world run better and improve people's lives A market leader in enterprise software, SAP turns businesses into intelligent, sustainable enterprises. Our applications and services enable business and public customers across 25 industries to operate profitably and adapt continuously.

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