
The best-run businesses run SAP.
Data Engineering Expert at SAP
About the role
We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you bring
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Bachelor's or master's degree or equivalent in information technology or related disciplines.
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Relevant experience in your field with a track record of delivering results, at least 10 years of business experience and 5 years of experience with Master Data Management is expected.
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Strong analytical and problem-solving skills with attention to detail plus excellent communication skills, both written and verbal.
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Ability to work independently while thriving in collaborative environments.
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Proactive mindset with a willingness to learn and adapt quickly.
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SAP Product Master Data Management, Variant Configuration, Pricing knowledge is essential.
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CPQ, SAP Variant Configuration and Pricing (SAP CPS), SOM is a plus.
What you'll do
We are extending our team in Bangalore as base location with an IT Product Owner position. We are looking for a passionate colleague (f/m/d) who loves challenges and will contribute to Product Master Data stream within Enterprise Data Technology area (SAP CPIT) with the topics related to -
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Drive key initiatives by translating business needs into practical, scalable solutions.
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Collaborate with cross-functional teams to deliver high-quality outcomes on time.
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Analyze data and processes to identify improvement opportunities and optimize performance.
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Take ownership of projects and integrations from concept through execution and continuous improvement as well as mentoring of team members and fellows.
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Communicate insights, progress, and recommendations clearly to stakeholders.
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Contribute to a culture of innovation, accountability, and continuous learning with and without AI support
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Design, customizing, review and rollout of SAP Master Data Management solutions
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(Product Definition, Configurable Materials, Architectures, Pricing Procedures etc.) based on SAP Advanced Variant Configuration, SAP Material Master and SAP Variant Configurations and Pricing (CPS)
Be a proactive and enthusiastic team player to become a member of our motivated international team of architects, developers, supporters dealing with product master data for licences and services. Collaborate at least 3 days per week with your colleagues in the SAP office location.
Meet your team
Enterprise Data Technology (EDT) is part of the SAP CPIT organization and responsible for providing consultancy & technology expertise in the area of data management, delivering data migration, integration, quality and master data projects.
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 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.
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.
Requisition ID: 449595 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #
Required skills
data engineering
master data management
product ownership
business analysis
SAP master data
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About SAP

SAP
PublicThe best-run businesses run SAP.
10,001+
Employees
Walldorf
Headquarters
$157B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
3.5
Culture
4.1
Career
3.4
Management
3.6
65%
Recommend to a friend
Pros
Flexible hours and remote work options
Supportive management and team collaboration
Good benefits and training programs
Cons
Work-life balance challenges and overwhelming workload
Fast-paced environment with unrealistic deadlines
Limited career advancement opportunities
Salary Ranges
2 data points
Intern
L3
L4
L5
Intern · Data Scientist
0 reports
$68,766
total per year
Base
-
Stock
-
Bonus
-
$58,453
$79,079
Interview experience
5 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 40%
Negative 60%
Interview process
1
Application Review
2
HR/Recruiter Screen
3
Phone/Technical Screen
4
Hiring Manager Interview
5
Onsite/Panel Interview
6
Technical Assessment
Common questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
SAP-Specific Technical Skills
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