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