Senior Data Engineer, Process Excellence | Senior Data Engineer (m/w/d) Process Excellence
Rittal GmbH & Co. KG
Job Summary
This Senior Data Engineer role, based in Herborn, focuses on accelerating the digital transformation of internal processes within Rittal, a leading system provider in industrial digitalization. The core responsibility involves integrating diverse data sources from systems like SAP, Blue Yonder, and Salesforce, and developing robust data models and ontologies for comprehensive process evaluations (e.g., Order-to-Cash, Purchase-to-Pay). A significant part of the job is leveraging the Celonis platform: implementing features like Business Views, Process Automation, Task Mining, and integrating AI/ML algorithms to generate high-quality, data-driven use cases. The successful candidate will optimize and scale ETL/ELT pipelines, perform performance tuning on PQL queries, and monitor Celonis process metrics. This position requires a minimum of five years of relevant data engineering experience, strong analytical skills, and proficiency in both German and English, with travel readiness up to 20%.
Required Skills
Education
Degree in Business Informatics, Computer Science, Information-oriented Business/Economics, Mathematics, or comparable field
Experience
- Minimum 5 years in Data Engineering, IT Consulting, or Data Integration
- Experience with the Celonis platform or strong demonstrated interest in Celonis-specific technologies
- Experience collaborating interdisciplinarily with stakeholders, analysis teams, and IT departments
Languages
Additional
- Willingness to travel (approx. 20%); Permanent employment contract
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