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.

SUMMARY & ROLE INFORMATION:

In this role, you will be working in a young cross-functional team that values trust, respect and diversity. We are looking for people who share our passion for creating products that people love to use. To thrive in this role, you are someone who appreciates close collaboration, open communication, and feedback. We are an engineering team at SAP Signavio, responsible for the development lifecycle of the Value Accelerators (content package) for SAP Signavio Process Analysis & Mining. Our mission is to support our customers in reducing the time to insights by providing predefined content that uses SAP Signavio solutions to analyze, optimize, and monitor their business processes.

EXPERIENCE / ROLE REQUIREMENTS:

• Experience in SQL / SiGNAL data manipulation, data extraction, and data integration
• Experience in data analysis, visualization, and reporting
• Experience in Agile methodology, engineering practice and customer-centricity in software development
• Good understanding of Process Mining, preferably experience in implementing process mining use cases
• Good understanding of relevant systems, e.g. ECC, S/4HANA, Ariba, etc.
• Preferably having business process and system expertise, e.g., Procurement and Supply Chain Management.
• Preferably having a good understanding and experience with (relational) databases and ETL systems.
• Preferably having an understanding or experience in Cloud Integration Platform
• Preferably passion for automation and AI, and knowledge of relevant programming languages like Python