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

Required Skills:

Celonis EMS Process Mining tools PQL Process Query Language data modeling and ETL processes data modeling ETL sql ERP systems APIs and data connectors version control Celonis implementation process analysis