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. 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 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.
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.
Strong experience in data engineering, including the design and implementation of scalable data pipelines and data models.
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.
Design and build scalable ETL/ELT pipelines, robust data models, and integrated enterprise data systems using modern lakehouse architectures (Parquet, Delta Lake) and platforms such as SAP HANA, Databricks, and big data frameworks (PySpark).
Develop and manage batch and real-time data pipelines leveraging workflow orchestration tools (e.g., Airflow) and streaming technologies such as Kafka to ensure reliable, efficient, and high-performance data processing.
Ensure data quality, governance, compliance, and PII protection while implementing CI/CD pipelines and applying best practices with Docker and Git within data engineering workflows.
We work closely with decision-makers, challenge assumptions with data, and give data scientists room to influence strategy—not just produce analysis. 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.
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. 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. Requisition ID: 453803 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid #LI-ILR