Celonis CoE Senior Value Engineer

ta 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 end-to-end business processes, enabling advanced process mining, root-cause 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 long-term scalability.

• Data Quality Management: Establish and maintain data validation and cleansing mechanisms to ensure high-quality, 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 value-driven 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 your colleagues 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 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.

• Strong proficiency in SQL and experience with major relational database systems.

• Hands-on 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 cross-functional teams.

• Proven ability to manage multiple projects, prioritize tasks, and deliver high-quality outputs in a fast-paced environment.

• Passion for process improvement, data integrity, and high-quality analytics.

• Willingness to continuously learn evolving Celonis and data engineering capabilities.

• Proficiency in both spoken & written English language is required.

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