

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.
Job Title:Engineering ExpertData Product Runtime
Job Description:
Engineering Expert, you will be instrumental in the expansion of our Foundation Services team in Bangalore. Your profound expertise in distributed data processing, Spark optimization, and data transformation pipelines willscalable data solutions, reinforcing SAP Business Data Cloud's pivotal role in SAP's Data & AI strategy.
Responsibilities:
Lead the design and execution of optimized data processing solutions.
Spearhead Spark optimization strategies to maximize performance and scalability in data processing.
Architect and refinepluggabledata transformation pipelines for efficient processing of large datasets.
GitOpspractices to advance CI/CD pipelines and operational efficiency.
Apply advanced SQL skills to refine data transformations across vast datasets.
Integrate AI & ML technologies into high-performance data solutions, staying informed on emerging trends.
Utilize SAP HANA Spark to drive innovation in data engineering processes.
Mentor junior engineers, fostering a culture of continuous improvement and technical excellence.
Collaborate effectively with global stakeholders to achieve successful project outcomes.
Qualifications:
Extensive experience in data engineering, distributed data processing, and expertise in SAP HANA or similar databases.
Proficiency in Python (PySpark) is essential; knowledge of Scala and Java is advantageous.
Advanced understanding of Spark optimization and scalable data processing techniques.
Proven experience in architecting data transformation pipelines.
Knowledge of Kubernetes,GitOps, andmodern cloud stacks.
Strong understanding of AI & ML technologies and industry trends.
Effective communication skills within a global, multi-cultural environment.
Proven track record of leadership in data processing and platform initiatives.
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
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 and more equitable world.
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: 426931 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
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What you'll do:
As an HR Data Management Associate, you will be responsible for managing SAP employee data according to the highest standards of quality and compliance. This will be done through SAP software such as SuccessFactors. The efficiency and quality of our work is critical because all processes, stakeholders, and decisions depend on the data we manage throughout the entire employee journey. The beauty of being a part of a global team is that you will also have various opportunities for career growth and to initiate or participate in projects focused on HR processes, data, digital transformation and much more.
Day to Day Tasks:
• Generate employment contracts for candidates and create employee profiles for new hires in SuccessFactors (HCM).
• Transfer data of employees who are moving to different teams/locations.
• Manage employee personal data changes, such as marital status, bank details, etc., in APJ location.
• Update employment/career changes including, but not limited to, promotions, compensation changes, and terminations.
• Process payment requests for employees from other HR functions.
• Develop a deep understanding of HR processes to serve as an advisor to customers while providing an excellent service experience.
• Perform quality checks on maintained data to ensure compliance and accuracy.
• Take advantage of opportunities for team's innovative projects that help drive SAP's technology, while improving our data management processes.
Role Requirements:
• Strong communication, analytical and critical-thinking skills
• Quality, results-driven, and agile mindset
• Attention to detail and accuracy while maintaining confidential data
• Customer-oriented aptitudes
• Time management competencies (respects deadlines)
• Ability to work independently and within a team
• Basic knowledge of Microsoft Excel
• Fluent in English + any Asian language is an advantag
We win with inclusion
Successful candidates might be required to undergo a background verification with an external vendor.
Job Segment:HR Manager, Database, Data Management, ERP, Cloud, Human Resources, Technology, Data
משרות נוספות שיכולות לעניין אותך

What you’ll do
At SAP, we are bringing together state-of-the-art AI technology with our extensive industry-specific data and deep process knowledge to create innovative AI capabilities across SAP products & services. Large Language Models (LLMs) hold immense potential to change the way we work and develop products. They are reshaping the landscape of Machine Learning across various domains. However, deploying Large Language Models (LLM) for business applications presents challenges due to their lack of knowledge about structured and unstructured assets involving business data models, business process metadata and documentation, which slows the development progress. It is SAP's mission to overcome this challenge within the realm of Business AI. Our goal is to provide SAP Knowledge Graph as the key differentiator to address LLM challenges like hallucination and compliance, as well as enable the development of the foundation models on structured data to deliver distinctive generative AI solutions to our customers.
For our growing team we are looking for a Data Science Manager (f/m/) based in Walldorf or Berlin taking on the following responsibilities:
What you bring
משרות נוספות שיכולות לעניין אותך

Key Responsibilities:
Requirements:
Preferred Qualifications:
משרות נוספות שיכולות לעניין אותך

What you`ll do
We need to stay up to date with accessibility test automation and stretch the boundaries for design and development guidance and support.
What you bring
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
משרות נוספות שיכולות לעניין אותך

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.
Job Title:Engineering ExpertData Product Runtime
Job Description:
Engineering Expert, you will be instrumental in the expansion of our Foundation Services team in Bangalore. Your profound expertise in distributed data processing, Spark optimization, and data transformation pipelines willscalable data solutions, reinforcing SAP Business Data Cloud's pivotal role in SAP's Data & AI strategy.
Responsibilities:
Lead the design and execution of optimized data processing solutions.
Spearhead Spark optimization strategies to maximize performance and scalability in data processing.
Architect and refinepluggabledata transformation pipelines for efficient processing of large datasets.
GitOpspractices to advance CI/CD pipelines and operational efficiency.
Apply advanced SQL skills to refine data transformations across vast datasets.
Integrate AI & ML technologies into high-performance data solutions, staying informed on emerging trends.
Utilize SAP HANA Spark to drive innovation in data engineering processes.
Mentor junior engineers, fostering a culture of continuous improvement and technical excellence.
Collaborate effectively with global stakeholders to achieve successful project outcomes.
Qualifications:
Extensive experience in data engineering, distributed data processing, and expertise in SAP HANA or similar databases.
Proficiency in Python (PySpark) is essential; knowledge of Scala and Java is advantageous.
Advanced understanding of Spark optimization and scalable data processing techniques.
Proven experience in architecting data transformation pipelines.
Knowledge of Kubernetes,GitOps, andmodern cloud stacks.
Strong understanding of AI & ML technologies and industry trends.
Effective communication skills within a global, multi-cultural environment.
Proven track record of leadership in data processing and platform initiatives.
Bring out your best
SAP innovations help more than four hundred thousand 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 two hundred million users and more than one hundred thousand 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, you can bring out your best.
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 and more equitable world.
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: 426931 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.
משרות נוספות שיכולות לעניין אותך