Data Engineer - Celonis Process Mining
SKILLS
FULL DESCRIPTION
The Role: Data Engineer - Celonis Process Mining Location: London, UK Position Type: Contract Inside IR35 Remote work option Available: Hybrid – 2 Days Onsite Job Description: Inside a leading financial services company, the Celonis Data Engineer will play a critical role in transforming complex banking data into trusted process insights, enabling data driven insights. In this role, you will contributes to building a data‑driven, insight‑led operating model within a highly regulated banking environment
Job details
: Posted 13 April 2026: LocationGreater London: Job type [Contract](/jobs/contract-1): Discipline [Technology](/jobs/technology) , [Commodities and Financial Services](/jobs/commodities-and-financial-services)
Job description
The Role: Data Engineer - Celonis Process Mining
Location: London, UK
Position Type: Contract Inside IR35
Remote work option Available: Hybrid – 2 Days Onsite
Job Description:
Inside a leading financial services company, the Celonis Data Engineer will play a critical role in transforming complex banking data into trusted process insights, enabling data driven insights. In this role, you will 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 optimise ETL/ELT pipelines from Source systems.
- Data ingestion, transformation, and refresh schedules for Celonis datasets.
- Design and optimise process mining data models (CCPM and OCPM) aligned with requirements.
- Handle large-volume transactional datasets while preserving process integrity and traceability.
Performance Optimisation & Quality
- Optimise 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 modeling, 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
If this position is of interest to you, apply now!