Data Engineer - Celonis Process Mining

The Celonis Data Engineer works with a leading financial services company, plays a critical role in transforming complex banking data into trusted process insights, enabling data driven insights. Contributes to building a data‑driven, insight‑led operating model within a highly regulated banking environment Your responsibilities: • Design, build, and maintain robust event log pipelines required for process mining in Celonis. • Translate existing process event logs (case IDs, activities, timestamps, attributes) into a Data Model. • Ensure scalability, reusability, and performance of event log frameworks across processes. • Develop and optimize ETL/ELT pipelines from Source systems. • Data ingestion, transformation, and refresh schedules for Celonis datasets. • Design and optimize process mining data models (CCPM and OCPM) aligned with requirements. • Handle large-volume transactional datasets while preserving process integrity and traceability. • Optimize queries, transformations, and data models for performance and scalability. • Perform data validation, reconciliation, and root-cause analysis. • Proactively identify data quality issues and implement remediation mechanisms. • Work closely with process analysts, functional teams, and business stakeholders. • Document data models, ETL logic, event log definitions, and migration decisions. • Support analysts and business users by enabling reliable, analysis-ready datasets in Celonis • Ensure compliance with enterprise data governance, security, and audit standards. • Apply data engineering best practices, including version control, modular design, and monitoring. • Support continuous improvement initiatives. Your Profile Essential skills/knowledge/experience: • Strong experience in data engineering for process mining, with Celonis • Hands-on experience building event logs, data pipelines, and transformation frameworks (CCPM & OCPM). • Strong proficiency in SQL, Python, data modeling, and ETL/ELT concepts. • Experience handling large datasets and optimizing performance for analytical workloads. Desirable skills/knowledge/experience: • Familiarity with process mining concepts and how data structures impact analysis outcomes. • Strong documentation, problem-solving, and collaboration skills. • Good to have knowledge in Banking and KYC Ops