Celonis Coe Senior Value Engineer

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In our datadriven organization we rely on accurate timely and highquality process insights to improve operational performance and enable informed decisionmaking. As a Celonis CoE Senior Value Engineer (Data & AI Focus) you will play a key role in enabling these insights by designing and maintaining robust data pipelines modeling process data and integrating information from core business systems into the Celonis platform.
Additionally you will help industrialize AI-driven process intelligence enabling predictive insights automation and decision support across SCM and other domainsreducing dependency on manual analysis and accelerating value realization.

How Youll Make anImpact

• Data Pipeline Engineering:Design build and maintain reliable ETL pipelines to extract transform and load data from ERP CRM and other enterprise systems into Celonis.
• Data Modeling:Develop optimized data models to reflect endtoend business processes enabling advanced process mining rootcause analysis and AI-driven insights.
• AI Enablement of Process Intelligence:
  Enable AI/ML use cases (e.g. prediction anomaly detection root cause analysis) by preparing high-quality datasets features and data structures to support advanced analytics.
• Integration Ownership:Integrate data from SAP Oracle databases APIs and external sources ensuring consistent data availability for both analytics and AI use cases.
• AI & Automation Integration:
  Support implementation of AI-powered capabilities within Celonis (EMS action flows predictive analytics AI copilots) embedding intelligence into workflows and decision-making.
• Performance Optimization:Continuously improve performance of Celonis data models and pipelines to support scalability for analytics and AI workloads.
• Data Quality for AI:
  Establish data validation enrichment and cleansing frameworks to ensure reliability of both reporting and AI-driven outputs.
• Continuous Innovation:
  Stay current with advancements in Celonis EMS AI/ML LLMs and data engineering identifying opportunities to enhance process intelligence with automation and AI.

Your Background

• 5 years of experience as a Data Engineer with strong proficiency inETL data modeling and data pipeline development.
• Minimum 2 years handsonexperience with Celonis (data integration modeling building views and actionflows).
• Experience working with largescale ERP systems such as SAP or Oracle; strong domainknowledge inat least one SAP module is preferred.
• technical skills; SQL Python/JavaScript data warehousing ETL tools and enterprise dataflows.
• Bachelors or masters degree in computer science Information Systems Engineering or a related field.

More about us

We pride ourselves on offering a holistic range of competitive benefits to support your financial physical and mental wellbeing and personal development. We want you to truly thrive with us in work and out.

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