Celonis Data Engineer

Contract Opportunity: Data Engineer – Celonis Process Mining 📍 Location: Central London (Office Based, 4+ days per week onsite) 📅 Start Date: ASAP 📄 Contract Length: 6 Months Initially 💷 Day Rate: TBC — expected around £500/day (Inside IR35) About the Role Our client is seeking a highly skilled Data Engineer with strong Celonis process mining expertise to join a leading financial services organisation. This role plays a pivotal part in enabling enterprise-wide process intelligence by transforming complex banking data into accurate, analysis‑ready insights. Working within a regulated banking environment, you will design and deliver high‑quality event logs, build robust data pipelines, and optimise Celonis data models to support end‑to‑end visibility and drive operational improvement. Key Responsibilities 1. Data Engineering & Event Log Construction • Design, build, and maintain scalable event‑log pipelines for Celonis process mining. • Translate raw process event data (case IDs, activities, timestamps, attributes) into structured Celonis Data Models. • Ensure reusability, consistency, and performance across multiple processes. 1. Data Model & Pipeline Development • Develop and optimise ETL/ELT pipelines from ERP and transactional banking systems. • Manage data ingestion, transformation, and refresh pipelines for Celonis datasets. • Build and fine‑tune Celonis CCPM and OCPM data models aligned to business requirements. • Work with large-volume transactional datasets while preserving end‑to‑end traceability. 1. Performance, Quality & Assurance • Optimise SQL queries, transformations, and data models for performance at scale. • Conduct data validation, reconciliation, and root‑cause analysis. • Identify and resolve data quality issues proactively. 1. Collaboration & Documentation • Partner closely with process analysts, functional teams, and business stakeholders. • Document data models, ETL logic, event log definitions, and technical decisions. • Support business users by enabling reliable, analysis‑ready datasets within Celonis. 1. Governance & Best Practice • Ensure compliance with enterprise data governance, security, and audit standards. • Apply modern engineering best practices including version control, modular design, and pipeline monitoring. • Contribute to continuous improvement initiatives across the data engineering landscape. Your Profile Essential Skills • Proven experience in Celonis data engineering and process mining execution. • Hands‑on expertise with event log creation, Celonis data modelling (CCPM/OCPM), and PQL logic. • Strong proficiency in SQL, Python, ETL/ELT, and data modelling. • Experience handling high‑volume transactional datasets and performance optimisation. Desirable Skills • Understanding of process mining techniques and their analytics implications. • Strong documentation, analytical, and problem‑solving skills. • Background in banking or KYC operations is a plus. If you’re a data engineering professional with deep Celonis expertise and thrive in highly regulated environments, we’d love to hear from you. Apply now to start ASAP and play a critical role in transforming process intelligence within a major financial institution.