Process Mining Data Engineer

Quick Facts

• Role: Process Mining Data Engineer

Description

You will design, develop, and maintain scalable data pipelines and data models to ensure the availability, quality, and reliability of data used for Process Mining. The role focuses on integrating multiple source systems, transforming and modeling data for efficient analytics, and enabling accurate process analysis and continuous improvement.

Responsibilities

• Design, develop, and maintain robust data pipelines for Process Mining use cases

• Integrate and transform data from multiple source systems into the Process Mining platform

• Develop and maintain structured datasets and technical data models for analytical needs

• Implement and optimize ETL solutions aligned with business and technical standards

• Monitor data quality, resolve data issues, and apply technical controls to protect data integrity

• Maintain technical documentation and support engineering standards and automation initiatives

Requirements

• 3 to 5 years of experience in a similar position

• Proficiency in SQL, Python, and various Data Visualization/BI tools

• Hands-on Process Mining experience (preferably Celonis EMS)

• Experience in Data Integration, Data Modeling, and Process Analytics

• Expertise in process mining techniques, including query, dashboard, and data modeling

• Working knowledge of OCPM (Object-Centric Process Mining)

• Bachelor’s degree in Management, IT, Project Management, Finance & Banking, or Business

• Advanced English proficiency at C1 level

Benefits

• Hybrid work mode (50% working from home within a month)

• Remote work expense allowance (120 PLN/month)

• Fully paid private medical care

• Pre-paid lunch card

• Employee Pension Plan

• Co-financed Multisport Card

• MyBenefit Cafeteria Platform

• Life insurance

• Car parking availability in the office building

• Trainings and development opportunities