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In 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.
Additionally, 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.

How You’ll Make an Impact

• 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 end‑to‑end business processes, enabling advanced process mining, root‑cause 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 in ETL, data modeling, and data pipeline development.
• Minimum 2 years hands‑on experience with Celonis (data integration, modeling, building views, and action flows).
• Experience working with large‑scale ERP systems such as SAP or Oracle; strong domain knowledge in at least one SAP module is preferred.
• technical skills; SQL, Python/JavaScript, data warehousing, ETL tools and enterprise dataflows.
• Bachelor’s or master’s 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.

We can provide more information during the recruitment process.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the employment contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.

*Applicable only for Poland location align with local law regulations.

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