Data Engineer (Celonis)

- Design, build, and maintain scalable event-log pipelines for Celonis process mining. - Translate raw process event data (case IDs, activities, timestamps, attributes) into structured Celonis Data Models. - Ensure reusability, consistency, and performance across multiple processes. - Develop and optimise ETL/ELT pipelines from ERP and transactional banking systems. - Manage data ingestion, transformation, and refresh pipelines for Celonis datasets. - Build and fine-tune Celonis CCPM and OCPM data models aligned to business requirements. - Work with large-volume transactional datasets while preserving end-to-end traceability. - Optimise SQL queries, transformations, and data models for performance at scale. - Conduct data validation, reconciliation, and root-cause analysis. - Identify and resolve data quality issues proactively. - Partner closely with process analysts, functional teams, and business stakeholders. - Document data models, ETL logic, event log definitions, and technical decisions. - Support business users by enabling reliable, analysis-ready datasets within Celonis. - Ensure compliance with enterprise data governance, security, and audit standards. - Apply modern engineering best practices including version control, modular design, and pipeline monitoring. - Contribute to continuous improvement initiatives across the data engineering landscape.