Process Mining Data Engineer

- Design, build, and maintain robust event log pipelines for process mining in Celonis - Translate raw process data into structured event logs (Case ID, Activities, Timestamps, Attributes) - Develop scalable, reusable, and high-performance event log frameworks - Build and optimize ETL/ELT pipelines from multiple source systems - Manage data ingestion, transformation, and refresh cycles for Celonis datasets - Design and optimize process mining data models (CCPM & OCPM) - Handle large-scale transactional datasets while ensuring process integrity and traceability - Optimize queries, transformations, and data models for performance and scalability - Perform data validation, reconciliation, and root cause analysis - Identify and resolve data quality issues with proactive remediation strategies - Collaborate with process analysts, business stakeholders, and functional teams - Document data models, ETL logic, and event log definitions - Enable analysis-ready datasets for business users within Celonis - Ensure compliance with data governance, security, and audit standards - Apply best practices including version control, modular design, and monitoring - Support continuous improvement and optimization initiatives