Working Student - AI Data Engineering (m/w/d)
We help the world run better
Our company culture is focused on helping our employees enable innovation by building breakthroughs together. 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.
What you'll do
We are looking for a motivated AI Data Engineering Working Student to join our team. In this role, you'll collaborate with our team of AI Data Engineers who are responsible for managing our key data assets, crucial for driving our AI initiatives. This role offers an excellent opportunity to learn and contribute to various stages of data management and AI.
Specifically, your tasks are: Assist AI Data Engineers in the extraction, acquisition, storage, transformation, annotation and curation of data as well as in engineering the underlying data pipelines. Support the team in managing data assets, ensuring the quality and reliability of the data. Collaborate with Data Scientists, understanding their needs and helping to supply them with the appropriate data. Work with multiple partners, facilitating effective communication and collaboration. Participate in the development and maintenance of data infrastructure, tools, and systems. Contribute to the continuous improvement of our data management practices.
The job is a very good opportunity to collect professional experience and get insights into SAP. We are a young team and offer an international and cooperative working atmosphere. We offer flexible working hours and hybrid work. The average weekly working time should be at least 15 hours.
What you bring Currently enrolled in a Computer Science, Data Science, or a related field. Proficiency in python, good understanding of data management principles and techniques. Hands-on knowledge in cloud stack (AWS, GCP, Azure), cloud software development, Metaflow or knowledge graphs is a plus. Familiarity with AI and machine learning concepts is preferred. Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Excellent English communication and comprehension skills.
Meet your team
Be a part of a team of data scientist and AI data engineers in the central AI organization of SAP. Our focus is on developing cutting-edge machine learning models that form an integral part of our product offerings. We aim not only to enhance the performance and efficiency of our existing models but also to continually innovate, driving the boundaries of what's possible especially in the area of Generative AI.
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.
#Workingstudent #Werkstudent #Germany #Deutschland #Student #LIHybrid#SAPGermanStudentsCareers
We build breakthroughs together
SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, we build breakthroughs, together.
We win with inclusion
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the . Specific conditions may apply for roles in Vocational Training.
EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: 384130 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Student | Employment Type: Limited Part Time | Additional Locations: #LI-Hybrid.