Celonis Process Mining – Data Engineer

Hiring: Celonis Process Mining – Data Engineer Location: London, UK (Hybrid) Employment Type: Contract / Full-Time We are seeking a Celonis Data Engineer to join a leading financial services organization, playing a critical role in transforming complex banking data into actionable process insights. This role is key to enabling a data-driven, insight-led operating model within a highly regulated environment. Key Responsibilities: 1️⃣ Data Engineering & Event Log Construction • Design, build, and maintain robust event log pipelines for process mining in Celonis • Translate raw process data into structured event logs (Case ID, Activities, Timestamps, Attributes) • Develop scalable, reusable, and high-performance event log frameworks 2️⃣ Data Model & Pipeline Development • Build and optimize ETL/ELT pipelines from multiple source systems • Manage data ingestion, transformation, and refresh cycles for Celonis datasets • Design and optimize process mining data models (CCPM & OCPM) • Handle large-scale transactional datasets while ensuring process integrity and traceability 3️⃣ Performance Optimization & Data Quality • Optimize queries, transformations, and data models for performance and scalability • Perform data validation, reconciliation, and root cause analysis • Identify and resolve data quality issues with proactive remediation strategies 4️⃣ Collaboration & Documentation • Collaborate with process analysts, business stakeholders, and functional teams • Document data models, ETL logic, and event log definitions • Enable analysis-ready datasets for business users within Celonis 5️⃣ Governance & Best Practices • Ensure compliance with data governance, security, and audit standards • Apply best practices including version control, modular design, and monitoring • Support continuous improvement and optimization initiatives Required Skills & Experience • Strong experience in data engineering for process mining using Celonis • Hands-on expertise in event log creation, data pipelines, and transformation frameworks (CCPM & OCPM) • Strong proficiency in SQL and Python • Solid understanding of data modeling and ETL/ELT concepts • Experience working with large datasets and optimizing analytical workloads Nice to Have • Understanding of process mining concepts and analytical data structures • Experience in Banking / Financial Services (BFSI) • Exposure to KYC Operations • Strong documentation, analytical, and stakeholder management skills