Celonis CoE - Senior Value Engineer

Hitachi Energy Ltd.; Zürich; On-site; CHF 130,000 - 190,000; Full time

Job summary

Hitachi Energy Ltd. in Zürich seeks a Celonis CoE Senior Value Engineer (Data & AI Focus) to design and maintain robust data pipelines, model processes, and integrate ERP data into Celonis for advanced process mining.

You will industrialize AI-driven process intelligence, enabling predictive insights, automation, and decision support across SCM and other domains while collaborating with IT, data science, and business teams.

Qualifications

• 5+ years of experience in Data Engineering with data platforms and pipelines.
• Minimum 2 years of hands-on Celonis experience leveraging process intelligence.
• Experience integrating SAP and Oracle ERP environments.
• Strong SQL, relational databases, data modeling, and ETL architectures.
• Proficiency in Python or similar scripting for data transformation.
• Familiarity with cloud platforms and scalable data architectures.
• Understanding of AI/ML concepts including predictive analytics and anomaly detection.
• Experience preparing data for AI use cases and model integration.
• Ability to translate complex technical concepts into business insights and collaborate across IT and business teams.
• Excellent English communication and a passion for Process Intelligence and automation.

Responsibilities

• Design, build, and maintain reliable ETL pipelines from ERP/CRM to Celonis.
• Develop optimized data models reflecting end-to-end business processes.
• Enable AI/ML use cases with high-quality datasets and features.
• Integrate data from SAP, Oracle, databases, and APIs for analytics and AI.
• Support AI capabilities within Celonis EMS and related workflows.
• Continuously improve data model and pipeline performance for analytics and AI workloads.
• Establish data validation, enrichment, and cleansing frameworks for reliability.
• Collaborate with Value Engineers and business teams to translate use cases into solutions.
• Document data pipelines, transformations, and model dependencies.
• Stay current with Celonis EMS, AI/ML, LLMs, and data engineering advances.

Skills

Data Engineering

SQL

Python

Cloud platforms

Data Modeling

ETL pipelines

AI/ML concepts

Data Quality

Automation

English communication

Tools

Celonis EMS

SAP

Oracle

APIs

Databases

Job description

The Opportunity

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.

The Opportunity

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.
• Collaboration & Enablement: Partner with Value Engineers and business teams to translate process use cases into scalable data and AI solutions, enabling faster use case deployment.
• Documentation & Transparency: Maintain clear documentation on data pipelines, transformation logic, AI data readiness, and model dependencies.
• 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.
• Operational Excellence: Support development of dashboards, action flows, automations, and AI‑assisted insights to drive measurable business outcomes.

Your Background

• 5+ years of experience in Data Engineering, building and managing data platforms, pipelines, ETL processes, and enterprise data solutions.
• Minimum 2 years proven hands‑on experience with Celonis, leveraging process intelligence to drive business insights and operational improvements.
• Experience integrating and working with large‑scale ERP environments such as SAP and Oracle.
• Strong expertise in SQL, relational databases, data modeling, ETL architectures, and enterprise data flows.
• Proficiency in Python or similar scripting languages for data transformation, automation, and workflow optimization.
• Familiarity with cloud platforms, orchestration frameworks, and scalable data architectures.
• Understanding of AI/ML concepts including predictive analytics, anomaly detection, classification models, and advanced analytics applications.
• Experience preparing and managing data for AI use cases, including data quality, feature engineering, and model integration into business processes.
• Ability to translate complex technical, data, and AI concepts into actionable business insights while collaborating effectively across IT, data science, and business teams.
• Passion for Process Intelligence, Automation, and AI‑driven transformation, combined with a strong ownership mindset, continuous learning approach, and excellent English communication skills.

More About Us

We offer a competitive Swiss benefits package designed to support your professional growth and well‑being. Depending on experience and role, this may include:

• Pension and insurance plans
• Flexible working arrangements
• Learning and development opportunities

Publication date : 2026-10-06