Job Title:  Consultant | Data Engineer | Bengaluru | Sustainability & Emerging Assurance

The Team

Enterprise technology has to do much more than keep the wheels turning; it is the engine that drives functional excellence and the enabler of innovation and long-term growth. Learn more about ET&P

 Your work profile

• 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.

 Key Responsibilities

  As a Process Mining Engineer, you'll design and implement process intelligence solutions using Celonis for enterprise-scale business     transformation initiatives.

• Relevant experience of 2 - 3 years in Process Mining, with 1+ years of experience in Celonis preferred.
• Experience in designing and developing end-to-end process mining solutions using the Celonis EMS platform.
• Experience in building and optimizing data models using PQL and Data Model Editor for enterprise-scale datasets.
• Experience in extracting, transforming, and loading (ETL) data from multiple source systems such as SAP, Oracle, and SQL databases.
• Experience in analysing business processes to identify bottlenecks, inefficiencies, deviations, and root causes.
• Experience in developing dashboards, KPIs, and analytical views using Celonis Studio.
• Experience in implementing process conformance checks and deviation analysis.
• Experience in designing and deploying action flows, alerts, and automation use cases.

• Experience collaborating with business stakeholders to translate requirements into process mining use cases.
• Experience ensuring data quality, governance, and consistency across process models.
• Experience integrating Celonis with external systems through APIs and reporting tools.
• Experience optimizing data pipelines and dashboard performance.
• Experience documenting process models, KPIs, and implementation architecture.
• Hands-on experience in end-to-end Celonis implementation projects.
• Strong experience in data modelling and process analysis in production environments.