DevOps Engineer Integration:  

Main Tasks/Responsibilities: 

• Shape BASF’s future planning landscape by further developing our Supply Chain Planning Framework on OMP 

• Develop, maintain & monitor interfaces for different on-premise and cloud integration scenarios 

• Manage Data Integration infrastructures and facilitate development for functional squads in the Product Family 

• Live end-to-end-responsibility, being able to adopt to new requirements and learning new technologies within a virtual global agile team 

• Recognize impediments within the team, identify root causes, promote discussions and drive solving the issue 

• Support the Product Owner in optimizing the Product Backlog as well as its refinement  

• Bring in new ideas / solutions and drive innovation within the Product Team 

• Lead and instruct usage of AI-driven efficiency-boosting tools, in development, communication, and management of teams in the organization. Develop and introduce customized enhancement to these tools if needed. 

• Mentor exchange with an individual about knowledge, skills/technologies and personal experiences with the aim of personal and professional development of the individual. 

• Must Have 

A university degree in computer science or similar. 

Proficient in at least one programming language: SAP ABAP (OO), Python, R, C# 

Knowledge related to Web Services (REST, SOAP), Streaming technologies (Kafka) and/or API development 

Good knowledge & understanding of cloud-based solutions and integration scenarios connecting via Middleware (e.g. Kafka, SAP CI, SAP PI/PO...)  

Excellent communication skills in English. 

Good understanding of security, cost and efficiency implications when setting up cloud-solutions 

Openness to new technologies, working methodologies and innovative solutions. 

Experience in full stack tools (e.g. , MS AzureDevOps) 

Experience in agile projects 

Facilitation, moderation, presentation & mentoring skills 

Basic DevOps knowledge in design, testing and debugging new functionalities 

• Nice to have: 

Supply Chain Planning process knowledge 

Basic Understanding of Data Modeling / Data Science & Databases 

S4 implementation experience is a plus