Celonis Data Engineer

Job Description Celonis Data Engineer Overall Platform & Backend Development Contribute to the continuous development of the backend data platform , with a strong focus on: Azure Databricks for data processing, transformation, and preparation Azure Data Factory for orchestration, ingestion, and scheduling of data pipelines Design, implement, and optimize end-to-end data pipelines from source systems to Celonis. Extend and maintain data interfaces and integrations between enterprise systems, Azure services, and Celonis. Adapt, extend, and maintain Celonis data models and knowledge models based on evolving business and technical requirements. Ensure scalability, performance, and reusability of backend and Celonis-related data solutions. Deep Dive: Celonis & Process Mining Proven experience with Celonis , ideally in a Data Engineer role. Strong knowledge of: Celonis Knowledge Models Event-based data modeling Celonis PQL (Process Query Language) Analyses, Views, and KPIs Solid understanding of process mining concepts (cases, activities, variants, timestamps). Deep Dive: Azure Data Engineering Hands-on experience with Azure Data Factory (ADF) : Designing and operating ETL/ELT pipelines Managing triggers, schedules, and dependencies Error handling, monitoring, and troubleshooting pipelines Hands-on experience with Azure Databricks : Data transformations using Spark / SQL Building reusable data processing logic Preparing curated datasets for analytics and consumption Strong SQL skills and experience with complex joins, transformations, and aggregations. Soft Skills Strong communication skills across IT, data, and business stakeholders. Structured, analytical, and solution-oriented mindset. Ability to work independently in a platform and operations-focused role. Willingness to document, standardize, and continuously improve solutions. Nice to Have Celonis certifications (Data Engineer, Data Analyst, Knowledge Model). Experience with large-scale Azure-based data platforms. Familiarity with Agile / DevOps ways of working. Experience in incident, change, and release management in data platforms.