Celonis Coe - Senior Value Engineer
Hitachi Energy Services Sp. z o.o.
⚲ Kraków, Stare Miasto
Do uzgodnienia
Opis stanowiska
Nasze wymagania:
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.
Zakres obowiązków:
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.
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.
Zakres obowiązków:
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.
🔍 Dekoder Ogłoszenia
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AI Enablement of Process Intelligence
Może oznaczać, że będziesz musiał przygotowywać dane do modeli AI, a niekoniecznie tworzyć same modele od podstaw.
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AI & Automation Integration
Wsparcie implementacji może oznaczać pracę z gotowymi narzędziami AI w Celonis, a nie rozwijanie nowych algorytmów.
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strong domain knowledge in at least one SAP module is preferred
Chociaż preferowane, brak tej wiedzy może być przeszkodą w skutecznym wykonywaniu obowiązków.
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enterprise dataflows
Może odnosić się do istniejących, być może skomplikowanych i trudnych do zrozumienia, przepływów danych w organizacji.