Job Specifications
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:
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.
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.
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.
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
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:
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
About the Company
Gazelle Global is an international recruitment consultancy established in 2011 through a unique partnership of IT implementation know-how and head hunting expertise with a vision to create a recruitment agency that delivers a best in class service whilst being a thoughtful and conscientious employer.
Our London HQ in collaboration with our offices in The Netherlands, Germany and Poland, serve clients and candidates across the UK and Europe. We pride ourselves on speed, transparency and user experience. Agility, at scale.
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