Celonis CoE - Senior Value Engineer

ph3The Opportunity /h3 pIn our data‑driven organization, we rely on accurate, timely, and high‑quality process insights to improve operational performance and enable informed decision‑making.

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. /p pAdditionally, you will help industrialize AI-driven process intelligence, enabling predictive insights, automation, and decision support across SCM and other domains—reducing dependency on manual analysis and accelerating value realization. /p h3How You’ll Make An Impact /h3 ul liData Pipeline Engineering: Design, build, and maintain reliable ETL pipelines to extract, transform, and load data from ERP, CRM, and other enterprise systems into Celonis. /li liData Modeling: Develop optimized data models to reflect end‑to‑end business processes, enabling advanced process mining, root‑cause analysis, and AI‑driven insights. /li

liAI 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. /li liIntegration Ownership: Integrate data from SAP, Oracle, databases, APIs, and external sources, ensuring consistent data availability for both analytics and AI use cases. /li liAI Automation Integration: Support implementation of AI‑powered capabilities within Celonis (EMS, action flows, predictive analytics, AI copilots), embedding intelligence into workflows and decision‑making. /li liPerformance Optimization: Continuously improve performance of Celonis data models and pipelines to support scalability for analytics and AI workloads. /li liData Quality for AI: Establish data validation, enrichment, and cleansing frameworks to ensure reliability of both reporting and

AI‑driven outputs. /li liCollaboration Enablement: Partner with Value Engineers and business teams to translate process use cases into scalable data and AI solutions, enabling faster use case deployment. /li liDocumentation Transparency: Maintain clear documentation on data pipelines, transformation logic, AI data readiness, and model dependencies. /li liContinuous Innovation: Stay current with advancements in Celonis EMS, AI/ML, LLMs, and data engineering, identifying opportunities to enhance process intelligence with automation and AI. /li liOperational Excellence: Support development of dashboards, action flows, automations, and AI‑assisted insights to drive measurable business outcomes. /li /ul h3Your Background /h3 ul li5+ years of experience in Data Engineering, building and managing data platforms, pipelines, ETL processes, and enterprise data solutions. /li liMinimum 2 years

proven hands‑on experience with Celonis, leveraging process intelligence to drive business insights and operational improvements. /li liExperience integrating and working with large‑scale ERP environments such as SAP and Oracle. /li liStrong expertise in SQL, relational databases, data modeling, ETL architectures, and enterprise data flows. /li liProficiency in Python or similar scripting languages for data transformation, automation, and workflow optimization. /li liFamiliarity with cloud platforms, orchestration frameworks, and scalable data architectures. /li liUnderstanding of AI/ML concepts including predictive analytics, anomaly detection, classification models, and advanced analytics applications. /li liExperience preparing and managing data for AI use cases, including data quality, feature engineering, and model integration into business processes. /li liAbility to translate

complex technical, data, and AI concepts into actionable business insights while collaborating effectively across IT, data science, and business teams. /li liPassion for Process Intelligence, Automation, and AI‑driven transformation, combined with a strong ownership mindset, continuous learning approach, and excellent English communication skills. /li /ul h3More About Us /h3 pWe offer a competitive Swiss benefits package designed to support your professional growth and well‑being. Depending on experience and role, this may include: /p ul liPension and insurance plans /li liFlexible working arrangements /li liLearning and development opportunities /li /ul pPublication date : /p /p