​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!