Senior Data Engineer

 We help the world run better

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

What you’ll do

The Data Architect will be responsible for designing, creating, and managing our data infrastructure. This role involves developing data models, ensuring data quality, and collaborating with various teams to align data initiatives with business goals. The ideal candidate will have extensive experience in data management and a strong understanding of both technical and business requirements.

• Design and Implementation: Develop and implement scalable data architectures that support business needs and drive efficiency.
• Data Modeling: Create and maintain conceptual, logical, and physical data models to ensure optimal data organization and accessibility.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to gather requirements and translate them into data architecture solutions.
• Documentation: Maintain comprehensive documentation of data architectures, data flows, and data governance processes.

• Technology Evaluation: Stay updated on emerging data technologies and tools, making recommendations for improvements and upgrades.
• Collaborate with other solution architects and provide direction to development teams for solution realization.

What you bring

• Data Architecture Design: Design and implement scalable, efficient, and secure data architectures that support data ingestion, storage, and processing requirements.
• Develop data models and schemas that align with business needs and analytical goals.
• Evaluate and recommend technologies and tools for data management, including databases, data warehouses, and cloud platforms. Data Analysis and Insights
•  Apply statistical analysis, machine learning, and other data science techniques to extract insights and generate actionable recommendations.
• Develop and deploy predictive and prescriptive models to support decision-making processes.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data architecture frameworks and tools (e.g., data warehouses, ETL tools, cloud platforms like AWS, Azure, or Google Cloud).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and data science libraries (e.g., Scikit-learn, TensorFlow).
• Fluency both written and spoken in English,

Tech you’ll learn

SAP Business AI SAP CAP SAP BTP

Meet your team

About Partner Engineering Team The Partner Engineering team delivers and runs the tools and technology to make our internal SAP Partner Organization and the SAP Partners successful. We understand our internal and external End User needs by engaging directly with them and focusing on the right outcome.

​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 and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide 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: [email protected]
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.

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.

Requisition ID: 403037  | Work Area: Information Technology  | Expected Travel: 0 – 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.