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:
- 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.
- 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.
- 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.
- 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
- 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