Senior Celonis CoE Value Engineer

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The Opportunity:
In our datadriven organization, we rely on accurate, timely, and highquality process insights to improve operational performance and enable informed decisionmaking. As a Celonis Coe Domain Lead, 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. You will collaborate closely with crossfunctional teams-including IT, Process Excellence, Operations, and Value Engineers-to ensure that Celonis serves as a trusted analytical foundation for continuous improvement. In this role, you will be responsible for the endtoend technical enablement of process intelligence use cases, from data ingestion to transformation, validation, and ongoing performance optimization.

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, ensuring stability, accuracy, and scalability.
• Data Modeling: Develop optimized data models within Celonis to reflect endtoend business processes, enabling advanced process mining, rootcause analysis, and automation opportunities.
• Integration Ownership: Collaborate with IT and application owners to integrate data from SAP, Oracle, databases, and other platforms into Celonis, ensuring seamless connectivity and data flow aligned with architectural standards.
• Performance Optimization: Continuously monitor and improve the performance of Celonis data models and pipelines, addressing bottlenecks and implementing best practices to support longterm scalability.
• Data Quality Management: Establish and maintain data validation and cleansing mechanisms to ensure highquality, trustworthy data for process mining and analytics.
• Collaboration & Enablement: Partner with business analysts, value engineers, and process owners to understand process requirements, translate them into data models, and provide technical guidance for building valuedriven use cases.
• Documentation & Transparency: Create and maintain technical documentation for data pipelines, transformation logic, and Celonis data models to ensure clarity, maintainability, and alignment with internal governance standards.
• Continuous Innovation: Stay current with advancements in Celonis EMS, data engineering practices, and process intelligence technologies, proactively identifying improvement opportunities and contributing to building a scalable data foundation for the organization.
• Operational Excellence: Support the development of dashboards, action flows, and automations within Celonis to drive measurable business outcomes.
• Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
• Living Hitachi Energy's core values safety and integrity, which means taking responsibility for your own actions while caring for yourcolleagues and the business.
  

Your Background:

• Should have bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field.
• Must have 5+ years of experience as a Data Engineer, with strong proficiency in ETL, data modeling, and data pipeline development.
• Minimum 2 years handson experience with Celonis (data integration, modeling, building views, and action flows).
• Experience working with largescale ERP systems such as SAP or Oracle strong domain knowledge in at least one SAP module is preferred.
• Strong proficiency in SQL and experience with major relational database systems.
• Handson experience with scripting languages such as Python or JavaScript for automation and data transformation.
• Solid understanding of data warehousing, ETL tools, and enterprise data flows.
• Familiarity with cloud environments and data orchestration concepts is a plus.
• Strong analytical skills and attention to detail in data validation and troubleshooting.
• Excellent communication and collaboration skills, with demonstrated ability to work effectively with crossfunctional teams.
• Proven ability to manage multiple projects, prioritize tasks, and deliver highquality outputs in a fastpaced environment.
• Passion for process improvement, data integrity, and highquality analytics.
• Willingness to continuously learn evolving Celonis and data engineering capabilities.
• Proficiency in both spoken & written English language is required.

Accessibility and reasonable accommodation

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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

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.