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

In this role, you'll create scalable, end-to-end Data Products that serve as the backbone for transformative business decisions.
Moving beyond traditional reporting, you will design and develop robust data pipelines and analytical models using a modern technology stack that includes Python, Databricks, SAP Business Data Cloud, SAP HANA Cloud, and Azure Data Lake Storage.
You will be responsible for the entire data engineering lifecycle, from raw data ingestion to consumption, ensuring best-practice data architectures that are production-grade, scalable, and future-ready.
By transforming complex data challenges into accessible and high‑performance solutions, you will empower teams with faster and smarter insights.
As a senior team member, you will proactively drive projects forward, collaborate closely with stakeholders, and identify inefficiencies.
You will introduce automation and strategic improvements to maximize value for internal customers while thriving in an Agile/Scrum environment that values curiosity and continuous improvement.

What you bring

Master's degree (or equivalent) in Computer Science, Engineering, Business Information Technology, or a related field.
Proven experience in analytical or data engineering roles, ideally within consulting or development environments.
Experience working in Agile/Scrum methodologies.
Strong communication skills with the ability to build trust across diverse teams.

Technical Competencies

Core Languages: Strong proficiency in Python (mandatory) Scala knowledge is a plus.
Data Products: Experience designing and implementing scalable, end‑to‑end data products.
Data Modeling: Expertise in analytical data modeling, data architectures, and large‑scale data pipelines.
Database Skills: Advanced SQL and SAP HANA (or equivalent high‑performance databases).
DevOps & Automation: Familiarity with CI/CD pipelines (e.g., GitHub Actions) and Git‑based version control.

Platforms & Tools:

- SAP Business Data Cloud

- SAP HANA Cloud

- Databricks

- Azure Data Lake Storage (ADLS)

Soft Skills & Aptitude

Inclusive, collaborative mindset with a passion for knowledge sharing.
Strong analytical thinking and problem‑solving abilities.
Proactive, adaptable, and eager for continuous learning.

Where you belong

Join a purpose driven inclusive team that values collaboration Over competition and empowers individual to shape solution that matter. we embrace diversity of thought and background, creating an environment where everyone can

contribute & grow. At SAP you will have a freedom to innovate, access next generation technologies and make a tangible impact on how data drives decisions.

#CFA #SAPInternalT3 #LI-PG5

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: [HIDDEN TEXT].

For SAP employees: Only permanent roles are eligible for the , 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.

Requisition ID: 452606 | Work Area: Information Technology | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

IT Data & Analytics Senior Specialist