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.
Living Hitachi Energy's core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
Your Background
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
2–4 years of experience as a Data Engineer, with growing proficiency in ETL, data modeling, and data pipeline development.
Some hands‑on experience with Celonis (data integration, modeling, building views, or action flows) is a plus; willingness to build deeper expertise is essential.
Working proficiency in SQL and experience with relational database systems.
Experience with scripting languages such as Python or JavaScript for automation and data transformation.
Exposure to applying AI/ML techniques (e.g., predictive modeling, anomaly detection, NLP, or recommendation systems) to data or process analytics is a plus.
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.
Good communication and collaboration skills, with demonstrated ability to work effectively with cross‑functional teams.
Ability to manage multiple tasks and prioritize effectively, with support from senior team members as needed.
Passion for process improvement, data integrity, and high‑quality analytics.
Willingness to continuously learn evolving Celonis, AI/ML, and data engineering capabilities.
Proficiency in both spoken & written English language is required.
Demonstrates effective use of AI and digital tools to enhance problem-solving, decision-making, and productivity, while applying sound judgment, ensuring accuracy and compliance, and maintaining accountability for outcomes
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. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
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.
