Celonis CoE Value Engineer

Location: Bengaluru, Karnataka, India Job ID: R0138516 Date Posted: 2026-09-02 Company Name: HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED Profession (Job Category): IT, Telecom & Internet Job Schedule:  Full time Remote: No 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 Value Engineer, you will support the enablement of these insights by helping build and maintain data pipelines, assisting with process data modeling, contributing to action flow development, and supporting the integration of information from core business systems into the Celonis platform. You will work closely with cross‑functional teams—including IT, Process Excellence, Operations, and senior Value Engineers—to help ensure Celonis serves as a trusted analytical foundation for continuous improvement. In this role, you will support technical enablement of process intelligence use cases with some independence, while receiving guidance from senior team members on more complex initiatives, gaining hands-on experience across data ingestion, transformation, validation, and action flow orchestration. How you'll make an impact: Build and maintain ETL pipelines to extract, transform, and load data from ERP, CRM, and other enterprise systems into Celonis, with support from senior engineers on complex scenarios. Develop data models within Celonis that reflect business processes, contributing to process mining and root‑cause analysis efforts. Design and build action flows within Celonis to automate business processes, applying reusable orchestration patterns. Work alongside IT and application owners to integrate data from SAP, Oracle, databases, and other platforms into Celonis. Monitor the performance of Celonis data models, pipelines, and action flows, identifying issues and supporting optimization efforts. Maintain data validation and cleansing processes to support high‑quality, trustworthy data for analytics. Support the application of AI/ML techniques (e.g., anomaly detection, predictive insights), with guidance from senior engineers on more advanced use cases. Partner with business analysts, value engineers, and process owners to understand process requirements and translate them into data models and action flows. Create and maintain technical documentation for data pipelines, transformation logic, and Celonis data models. Stay current on advancements in Celonis EMS, data engineering practices, and process intelligence technologies, and actively seek growth opportunities. Support the development of dashboards, action flows, and automations within Celonis. Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.