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 build

As an IT Data & Analytics Engineer, you will be a key member of the newly established Adopt2Consume (A2C) Insights & Data Foundation team. The team supports SAP’s vision of becoming a data-driven company by building a consistent and reliable data foundation that accelerates the development of best-in-class AI solutions, applications, and analytical dashboards.

The team’s work plays a critical role in SAP’s overall transformation and is a key building block in enabling data-driven innovation across the organization.

The Role:

In this role, you’ll create scalable, end-to-end Data Products that serve as the backbone for transformative business decisions. You will build modern data pipelines and analytical models using SAP’s data platforms — including SAP Business Data Cloud, SAP HANA Cloud, SAP Datasphere, Databricks, and Azure Data Lake Storage. Your work covers the entire data lifecycle, from ingestion to high‑quality consumption models, ensuring that solutions are production‑ready, future‑focused, and aligned with SAP’s data architecture standards.

You translate complex requirements into clean, high‑performance data solutions and proactively drive improvements in automation, data flows, and team efficiency.

Stakeholder management may also be part of your work, supporting alignment when needed — but your primary focus lies on technically delivering impactful data products within the Scrum team.

What you bring

• Degree in Data Science, Engineering, Business Informatics, or a related field

• Several years of experience in analytical or data engineering roles, ideally in complex, cross‑functional environments with stakeholder engagement

• Strong analytical thinking, data modeling skills, and experience designing scalable data pipelines

• Hands‑on experience with SAP Business Data Cloud, SAP HANA Cloud, SAP Datasphere, Databricks, and Azure Data Lake Storage

• Experience working in Agile/Scrum environments is highly desirable

• Solid SQL capabilities and familiarity with DevOps practices (Git, CI/CD)

• Python is a plus, along with interest in modern data engineering tools

• Excellent communication and collaboration skills, fluent in English

Meet your team

The A2C Insights & Data Foundation plays a key role in driving SAP’s transformation by strategically shaping and implementing a central data foundation cross Adopt to Consume purposes of our customers.

With this data foundation, we are able design and develop harmonized analytical insights across AI solutions, applications, and roles, breaking down siloed data structures and enabling simplified, accurate, and consistent data consumption for end users.

Ultimately, our goal is to ensure we as SAP best support our customers through reliable insights and a unified data experience.

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: 447272 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: