Process Mining Engineer

JOB DESCRIPTION: Process Mining Engineer

Engineer Responsibilities:

• We are seeking a Process Mining Engineer to design and implement process intelligence solutions using Celonis for enterprise-scale business transformation initiatives. This role requires expertise in analyzing complex business processes, building data models, and developing actionable insights using process mining techniques.

• You will work closely with business stakeholders, data engineers, and IT teams to deliver data-driven process optimization solutions across domains such as supply chain, finance, and operations.

Responsibilities & Accountabilities

• Design and develop end-to-end process mining solutions using Celonis EMS platform 

• Build and optimize data models (PQL, Data Model Editor) for large-scale enterprise datasets 

• Extract, transform, and load (ETL) data from multiple source systems (SAP, Oracle, SQL, etc.) 

• Analyze business processes to identify bottlenecks, inefficiencies, and root causes 

• Develop interactive dashboards, KPIs, and analytical views in Celonis Studio 

• Implement process conformance checks and deviation analysis 

• Design and deploy action flows, alerts, and automation use cases 

• Collaborate with business stakeholders to translate requirements into process mining use cases 

• Ensure data quality, governance, and consistency across process models 

• Integrate Celonis with external systems (APIs, Power BI, etc.) for extended analytics 

• Optimize performance of data pipelines and dashboards 

• Document process models, KPIs, and implementation architecture 

• Participate in code reviews, best practices, and knowledge sharing sessions 

• Drive project delivery with ownership of quality, timelines, and innovation 

Degree and Qualification:

• Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field 

• 3 to 6 years of total experience in Process Mining (1+ years in Celonis preferred) 

Must Technical Skills:

• Strong hands-on experience with Celonis EMS / Process Mining tools 

• Expertise in PQL (Process Query Language) 

• Experience in data modeling and ETL processes 

• Strong SQL skills and experience working with large datasets 

• Knowledge of business process frameworks (Order-to-Cash, Procure-to-Pay, etc.) 

• Experience integrating data from ERP systems 

• Understanding of process mining concepts (event logs, variants, conformance checking) 

• Familiarity with automation/workflow tools within Celonis 

• Experience with APIs and data connectors 

• Strong version control and documentation practices 

Must-have:

• Hands-on experience in Celonis implementation projects (end-to-end). 

• Strong experience in data modeling and process analysis in production environments.

Domain Skills (Optional):

• Automotive / Manufacturing / Supply Chain domain knowledge 

• Experience in Databricks 

• Experience in Azure

• Exposure to tools like Power BI or Tableau for extended reporting

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