Data Engineer - Celonis Process Mining
CV-LibraryLondoncontractPosted: 13 April 2026
Apply NowThe Role: Data Engineer - Celonis Process Mining
Location: London, UK
Position Type: Contract Inside IR35
Remote work option Available: Hybrid – 2 Days Onsite
Job Description:
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
1. Design, build, and maintain robust event log pipelines required for process mining in Celonis.
2. Translate existing process event logs (case IDs, activities, timestamps, attributes) into a Data Model.
3. Ensure scalability, reusability, and performance of event log frameworks across processes.
2. Data Model & Data Pipeline Development
1. Develop and optimize ETL/ELT pipelines from Source systems.
2. Data ingestion, transformation, and refresh schedules for Celonis datasets.
3. Design and optimize process mining data models (CCPM and OCPM) aligned with requirements.
4. Handle large-volume transactional datasets while preserving process integrity and traceability.
3. Performance Optimization & Quality
1. Optimize queries, transformations, and data models for performance and scalability.
2. Perform data validation, reconciliation, and root-cause analysis.
3. Proactively identify data quality issues and implement remediation mechanisms.
4. Collaboration & Technical Documentation
1. Work closely with process analysts, functional teams, and business stakeholders.
2. Document data models, ETL logic, event log definitions, and migration decisions.
3. Support analysts and business users by enabling reliable, analysis-ready datasets in Celonis
5. Governance & Engineering Best Practices
1. Ensure compliance with enterprise data governance, security, and audit standards.
2. Apply data engineering best practices, including version control, modular design, and monitoring.
3. 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
Location: London, UK
Position Type: Contract Inside IR35
Remote work option Available: Hybrid – 2 Days Onsite
Job Description:
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
1. Design, build, and maintain robust event log pipelines required for process mining in Celonis.
2. Translate existing process event logs (case IDs, activities, timestamps, attributes) into a Data Model.
3. Ensure scalability, reusability, and performance of event log frameworks across processes.
2. Data Model & Data Pipeline Development
1. Develop and optimize ETL/ELT pipelines from Source systems.
2. Data ingestion, transformation, and refresh schedules for Celonis datasets.
3. Design and optimize process mining data models (CCPM and OCPM) aligned with requirements.
4. Handle large-volume transactional datasets while preserving process integrity and traceability.
3. Performance Optimization & Quality
1. Optimize queries, transformations, and data models for performance and scalability.
2. Perform data validation, reconciliation, and root-cause analysis.
3. Proactively identify data quality issues and implement remediation mechanisms.
4. Collaboration & Technical Documentation
1. Work closely with process analysts, functional teams, and business stakeholders.
2. Document data models, ETL logic, event log definitions, and migration decisions.
3. Support analysts and business users by enabling reliable, analysis-ready datasets in Celonis
5. Governance & Engineering Best Practices
1. Ensure compliance with enterprise data governance, security, and audit standards.
2. Apply data engineering best practices, including version control, modular design, and monitoring.
3. 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