Celonis BI Senior Engineer – German Speaker

About the role

PwC's advisory practice in technology is looking for a Celonis BI Senior Engineer fluent in German to join its data and analytics team. The role focuses on using data and analytics to give clients strategic insights and improve their operations, from scoping and data preparation through analysis, value quantification and solution design.

Key responsibilities

• Drive end-to-end process improvement and mining initiatives, from scoping and data preparation to analysis, value quantification and solution design.
• Build and interpret process mining dashboards and uncover improvement opportunities in operational, financial and cross-functional processes.
• Support process reorganization and redesign, turning analytical insights into optimized target processes and sustainable operating models.
• Leverage AI-powered capabilities to help clients accelerate their enterprise transformation.
• Facilitate client workshops, process assessments and root-cause analyses, and turn findings into actionable recommendations.
• Collaborate with cross-functional teams to implement improvements and monitor realized value.
• Help clients establish a scalable, data-driven process excellence approach and embed continuous improvement.

Required profile

• First experience (Associate) or several years of experience (Senior Associate) in process mining, process consulting, business transformation or similar data-driven improvement fields.
• Strong expertise in at least one end-to-end process such as Order-to-Cash or Procure-to-Pay; broader knowledge of other E2E processes is ideal.
• Fluency in German and English (both required).
• Ability to translate complex data and process insights into clear, value-focused recommendations.
• Structured, proactive and impact-oriented working style.

Required skills

• Experience with SAP Signavio, Celonis or comparable process mining tools.
• Solid analytical skills; familiarity with SQL or scripting in Python.
• Strong communication, facilitation and stakeholder-management skills.
• Nice to have: experience with AI-driven process optimization, knowledge of BPMN or KPI frameworks, exposure to enterprise transformation programs, and experience in cross-functional or international teams.