Celonis Coe - Senior Value Engineer

Our requirements

• 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.

Your responsibilities

• 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.

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• life insurance
• remote work opportunities
• flexible working time
• fruits
• integration events
• corporate library
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• sharing the costs of tickets to the movies, theater
• sharing the commuting costs
• employee referral program

Recruitment stages

• 1.
  Screening with recruiter
• 2.
  Meeting with manager max 2
• 3.
  Offer

Hitachi Energy Services Sp. z o.o.