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.

In this role, you design, build, and operate scalable data pipelines and platforms that enable analytics, reporting, and advanced data driven use cases embedded directly within customer environments and fast-moving delivery teams. You translate business and analytical requirements into robust, maintainable data solutions and ensure that data is reliable, secure, and accessible across the organization. You work closely with customers and combine cloud native software engineering, enterprise data engineering, and production grade AI capabilities to solve complex real world business problems at speed. You are accountable for the technical quality, scalability, and business impact of delivered solutions within customer engagements. You operate at the intersection of engineering, data, AI, and customer delivery, collaborating closely with product, architecture, ML, and customer teams to accelerate adoption of AI driven enterprise solutions while maintaining alignment with SAP engineering and security standards

What you Bring

Strong experience in data engineering, including the design and implementation of scalable data pipelines and data models.
Ability to operate effectively in an Agentic AI context, contributing to the design, application, and responsible use of AI agents within complex business processes.
Proficiency in SQL and at least one programming language commonly used in data engineering (e.g. Python).
Experience working with modern data platforms and cloud‑based data technologies (e.g. data warehouses, data lakes, distributed processing frameworks).
Solid understanding of data quality, data governance, and data lifecycle management in enterprise environments.
Ability to translate business and analytical needs into robust technical data solutions.
Strong collaboration and communication skills, with the ability to work effectively across technical and non‑technical teams.
Design and develop scalable end-to-end data pipelines and ETL/ELT solutions
Expertise in enterprise data modelling, orchestration, and system integration
Strong proficiency in Python and SQL for data engineering and transformation
Hands-on experience with PySpark, Databricks, and big data processing frameworks
Experience with workflow orchestration tools such as Airflow
Strong working knowledge of SAP HANA and enterprise data platforms
Experience with lakehouse and columnar storage formats including Parquet and Delta Lake
Build and manage real-time streaming pipelines using Kafka or similar technologies
Ensure data quality, governance, compliance, and PII protection standards
Apply CI/CD, Docker, and Git best practices within data engineering workflows

What you Build

.In this role, you will:

Design, develop, and maintain scalable data pipelines and data models that support analytics, reporting, and AI use cases.
Integrate data from multiple internal and external sources, ensuring data quality, consistency, and reliability across the data landscape.
Build and optimize data processing workflows using modern data platforms and cloud based technologies.
Ensure data solutions meet enterprise requirements for performance, security, governance, and compliance.
Embed directly into customer projects and fast moving cross functional teams to rapidly understand business processes, technical landscapes, and operational challenges.
Collaborate with data scientists, analysts, and product teams to translate analytical requirements into efficient data engineering designs.
Monitor, troubleshoot, and improve data pipelines and platforms to ensure operational stability and continuous improvement.
Capture reusable patterns, accelerators, and product improvement opportunities from customer engagements, contributing back to engineering standards, frameworks, and best practices across teams.
Contribute to engineering standards, best practices, and reusable components to increase efficiency and maintainability

Where you Belong

You will be part of a growing AI and industry expert team dedicated to serving customers across the region (Americas, Europe, Asia). We are building a collaborative, high-impact environment that brings together deep AI expertise, strong industry knowledge, and regional understanding to help customers innovate, transform, and lead in their markets.

This team thrives on working together to turn complex business challenges into practical, scalable solutions. You will find an environment that values curiosity, ownership, and continuous learning, where new ideas are encouraged and real-world impact matters. This is a place for people who enjoy building something new. You will thrive here if you are customer-centric, motivated by meaningful outcomes, and comfortable navigating ambiguity in a fast-evolving AI landscape.

We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy—not just produce analysis. We value sharp thinking, business curiosity, and clear communication.

#SAPIndustryAICareers #SAPAICareers

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 .

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Forward Deployed Data Engineering Expert

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