CELONIS OCPM Engineer

Summary

Responsibilities

• Design, develop, and maintain robust data pipelines and analytics solutions using Python and PySpark within cloud environments such as Azure or AWS.
  
• Translate complex business requirements into technical specifications for process mining and optimization projects using CELONIS OCPM/CCPM frameworks.
  
• Create interactive dashboards and visual reports using Power BI or Tableau to communicate key performance indicators and insights to stakeholders.
  
• Apply PQL (Process Query Language) and SQL to extract, transform, and analyze large-scale datasets for process discovery and monitoring.
  
• Collaborate with cross-functional teams to identify inefficiencies in manufacturing and logistics operations, proposing data-driven solutions aligned with Lean principles.
  
• Manage the end-to-end lifecycle of process mining initiatives, from data extraction and modeling to implementation and continuous improvement.
  
• Ensure data integrity and accuracy while adhering to industry best practices for data governance and security.
  

• Possess 3 to 6 years of professional experience in data engineering, process mining, or related analytical roles.
  
• Demonstrate strong proficiency in programming languages including Python and PySpark for data manipulation and analysis.
  
• Have hands-on experience with cloud platforms, specifically Microsoft Azure or Amazon Web Services (AWS).
  
• Show expertise in data visualization tools such as Power BI or Tableau for creating executive-level reports.
  
• Maintain a solid understanding of supply chain dynamics, manufacturing processes, and logistics operations.
  
• Apply knowledge of Lean management and Critical Chain Project Management (CCPM) methodologies to optimize workflows.
  
• Be proficient in Process Query Language (PQL) and Structured Query Language (SQL) for database interaction.
  
• Hold a relevant degree in Computer Science, Engineering, or a related field, with specific training or certification in CELONIS OCPM being highly advantageous.