CELONIS PROCESS MINING - DATA ENGINEER

Role: CELONIS PROCESS MINING - DATA ENGINEER

Location: London

Contract

Inside IR35

The Role

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:

1. Data Engineering & Event Log Construction
   • 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.
2. Data Model & Data Pipeline Development
   • 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.
3. Performance Optimization & Quality
   • 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.
4. Collaboration & Technical Documentation
   • 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
5. Governance & Engineering Best Practices
   • 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 modelling, and ETL/ELT concepts.
• Experience handling large datasets and optimizing performance for analytical workloads.

Desirable skills/knowledge/experience: (As applicable)

• 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