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Niche Celonis specialization, mid-level experience, and reputable employer yield moderate competition.
Celonis process-mining specialization and required certifications limit transferability across industries.
Explicit 5+ years, mandatory Celonis certifications, and required data engineering skills imply high strictness.
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Lead full-stack Celonis Studio development including PQL, Knowledge Models, Views, Action Flows, and Orchestration Engine workflows for process mining and automation.
Design and maintain scalable data pipelines integrating Celonis with ERP systems like SAP and Salesforce using Data Jobs, Replication Cockpit, Process Connectors, and APIs.
Act as SME for process mining to identify improvement initiatives, define KPIs, and drive adoption across enterprise functions through collaboration with stakeholders.
Minimum 5 years in process analytics or data engineering roles.
Proficient with Celonis Studio (PQL, Knowledge Models, Views, Action Flows, Orchestration Engine) and Celonis Data Integration tools (Data Jobs, Replication Cockpit, Process Connectors).
Strong SQL and ETL/ELT data modeling skills; Python scripting experience for pipeline automation.
Experience with SAP, Salesforce, or similar ERP systems data integration; Celonis Certified Data Analyst or Data Engineer certification.
Experienced in end-to-end process mining project delivery with capability to develop AI-powered Celonis solutions.
Skilled in cross-functional collaboration, translating business requirements into scalable automation and analytics solutions.
Familiar with Agile delivery and change management to drive process improvements and adoption in enterprise environments.