Celonis CoE - Senior Value Engineer

hitachi; Zürich; Presencial; CHF 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Pension and insurance plans

Flexible working arrangements

Learning and development opportunities

Resumo da oferta

Hitachi Energy Holdings Ltd in Zurich, Switzerland, seeks a Celonis CoE Senior Value Engineer (Data & AI Focus) to design and maintain data pipelines and models for process mining and AI-enabled insights.

You will integrate data from SAP, Oracle, and other systems, build AI-ready data structures, and collaborate with IT, data science, and business teams to deliver scalable analytics and automated decision-support capabilities.

Qualificações

• 5+ years of experience in Data Engineering building data platforms, pipelines, ETL processes, and enterprise data solutions.
• Minimum 2 years hands-on experience with Celonis leveraging process intelligence to drive insights.
• 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 for data transformation, automation, and workflow optimization.

Responsabilidades

• Design, build, and maintain ETL pipelines to extract, transform, and load data from ERP, CRM, and other systems into Celonis.
• Develop optimized data models to reflect end-to-end business processes for process mining and AI-driven insights.
• Enable AI/ML use cases by preparing high-quality datasets, features, and data structures.
• Integrate data from SAP, Oracle, databases, APIs, and external sources for analytics and AI.
• Support AI-powered capabilities within Celonis (EMS, action flows, predictive analytics) and embed intelligence into workflows.
• Continuously improve performance of data models and pipelines for analytics and AI workloads.
• Establish data validation, enrichment, and cleansing frameworks for reliable outputs.
• Collaborate with Value Engineers and business teams to translate use cases into scalable data/AI solutions.
• Maintain documentation on pipelines, transformation logic, data readiness, and model dependencies.
• Stay current with Celonis EMS, AI/ML, LLMs, and data engineering advancements.

Conhecimentos

Data Engineering

Celonis

SQL & Modeling

Python

ERP Integration

Data Pipelines

AI/ML Concepts

Cloud Platforms

Data Quality

Cross-Functional

Ferramentas

Celonis

SAP

Oracle

Descrição da oferta de emprego

Location: Zurich, Zurich, Switzerland

Job ID: R0130653

Date Posted: 2026-07-20

Company Name: HITACHI ENERGY HOLDINGS LTD

Profession (Job Category): IT, Telecom & Internet

Job Schedule: Full time

Remote: No

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

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability.

This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.

Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision‑making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre‑employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security‑sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.