SAP Academy for Product & Engineering
SAPITBusinessSysteme · Budapest, Budapest, Hungary · Hybrid
Strong hiring record · median 9 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
If you don't know where to start your career, start by trying everything!
The SAP Academy for Product & Engineering will launch your career by diving into the vast, innovative world of SAP. The 12-month rotational program allows you to explore different technologies, develop new skills and connections, and make an impact by contributing as a full-time employee making SAP a sustainable, intelligent enterprise.
Here’s how
- Join a cohort of other curious, passionate, and motivated individuals
- Get exposed to a vast array of teams during each 6-month rotation - where you will experience different technology stacks, products, industries while refining your knowledge and understanding of the business
- Receive impactful projects, tailored learning, robust mentorship, and networking opportunities
What you’ll bring
You’re at the start of your technical career, with grounding in both software development and data science, and a genuine curiosity about how AI-native applications and analytical models work. You bring strong communication skills, a collaborative approach, and the creative thinking and learning agility to adapt as the role evolves.
- Foundational programming skills in Java, Python, or JavaScript, with an understanding of APIs, microservices architecture, CI/CD practices, and cloud fundamentals.
- Hands-on exposure to data analysis, applied statistics, and machine learning, using Python, SQL, and core analytical libraries — including feature engineering and introductory deep learning.
- Familiarity with data engineering practices — cleaning, transformation, and validation — alongside a grounding in ethical AI principles, data privacy, and responsible data usage.
- You integrate autonomous AI agents into your daily workflows and apply context engineering techniques to elicit reliable, consistent outputs from AI models, understanding of usage concepts of AI technologies and LLM families.
- A degree in Software Development, Engineering, IT, or Design — or equivalent experience, including community college and bootcamps. You’ll have graduated no later than 2027 with no more than two years of working experience.
- Fluency in English and Hungarian is required for this role.
What you’ll build
You’ll contribute across both application engineering and applied data science, gaining hands-on experience in AI-native development within an enterprise environment.
- Build and test AI-enabled application features, including large language model (LLM) integration, prompt testing, and AI output validation.
- Support analytics and modelling efforts through data preparation, feature engineering, baseline model runs, and model evaluation.
- Contribute to evaluation datasets, benchmarking workflows, and reproducibility checks for retrieval-based and LLM-assisted use cases.
- Monitor system logs, application metrics, and model outputs to surface issues and contribute to observability improvements.
- Work within CI/CD pipelines and contribute to deployment support and basic automation workflows.
- Follow established analytical and governance practices and maintain clear documentation throughout.
Where you belong
The SAP Academy for Product and Engineering is a 12-month rotational program for recent graduates who want to build real technical depth across SAP’s product and engineering landscape.
Two six-month rotations expose you to different technology stacks, products, and teams — alongside tailored learning, robust mentorship, and meaningful project work. Before the program ends, you’ll be considered for a long-term placement at SAP; to date, 90% of participants have been placed in a rotation team or a comparable one.
The next cohort starts on 1 March 2027, and the role is based in Budapest.
Please note
this program cannot support costs associated with foreign work permit administration.
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: 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 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
- SAP
- Java
- Python
- JavaScript
- Machine Learning
- SQL
- Deep Learning
- LLM
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