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’ll build

• Partner with Business to translate business rules into automated data quality checks
• Design and implement data profiling, validation, deduplication/entity resolution
• Contribute to the future target architecture design for data quality
• Lead PoCs on future data quality tooling supporting various use cases like AI, Analytics, Data Governance
• Lead the migration of SAP Information Steward assets (rules, scorecards, workflows) to futre data quality engine
• Build scalable DQ pipelines in Databricks (PySpark/SQL) for batch and streaming data; integrate with Delta Lake and Unity Catalog for governance and access control.
• Integrate DQ outcomes with Collibra (catalog, lineage, business glossary) to provide traceability, ownership, and standardized definitions for master data
• Provide APIs/services so downstream applications and AI agents can enforce data contracts and quality gates at ingestion and consumption.

About the role

Data Quality for Master Data is foundational to every AI and analytics use case at SAP—especially agentic AI that relies on trusted, governed data. As a Data Quality Engineer (T2), you will build and operate data quality controls for core master data domains (e.g., Customer, Material/Product). You will help transition SAP Information Steward-based rules and scorecards to defined target capabilities and solutions and ensure our AI agents and analytical products consume reliable, compliant, and well-documented data. In addition, you are involved in requirements engineering and driving discussions with various stakeholders from AI and Governance on data quality needs.

What you’ll bring

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of hands-on experience in data engineering, data quality, or data governance roles.
• Strong SQL and Python; experience with Spark/PySpark and Databricks (Jobs, Delta Lake, Unity Catalog).
• Practical experience with data quality dimensions (accuracy, completeness, consistency, validity, uniqueness, timeliness) and scorecarding.
• Experience integrating DQ controls with SAP Data Services, SAP Data Intelligence, OData/CDS views, and HANA SQL.
• Experience authoring and operationalizing DQ rules and workflows in SAP Information Steward and/or Collibra Data Quality.
• Background in AI/ML data readiness and governance for LLM/agentic AI use cases (dataset certification, provenance, drift monitoring).
• Experience with data profiling, fuzzy matching, deduplication/entity resolution, address standardization, survivorship, and reference data management.

Where you belong

• Shape the quality foundation for SAP’s next-generation AI and data products.
• Work in a collaborative, global environment with opportunities to influence architectural decisions during a pivotal tooling transition.
• Grow your expertise across both SAP and modern data platform ecosystems.

You’ll join the global Insights & Data Quality Team within the Enterprise Data Management Technology (EDT) team, part of SAP Corporate Processes & IT (CPIT).

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: 447405  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid

Job Segment: Cloud, ERP, Quality Engineer, SQL, Database, Technology, Engineering