Senior Celonis Data Engineer

Role overview

Build and improve data pipelines and models that support process mining and execution management. You will connect enterprise data to an analytics platform, turn business needs into reliable data solutions, and help teams find operational bottlenecks and opportunities for improvement.

Responsibilities - Integrate data from ERP and CRM systems, databases, and APIs; develop and maintain batch or near-real-time ingestion pipelines. - Create and maintain data models and transformations using SQL and PQL, keeping them accurate, scalable, and responsive to changing needs. - Add data quality checks, monitoring, access controls, versioning, and documentation to data assets. - Monitor data loads and query performance, identify bottlenecks, and improve how data is structured and processed. - Work with analysts and business stakeholders to define requirements and support dashboards, analyses, and process automation.

Requirements - Practical experience with Celonis data integration, data models, Spark, and PQL, plus a relevant platform certification or completed academy training. - Strong SQL skills and experience with relational databases such as PostgreSQL, SQL Server, or Oracle. - Experience integrating APIs, including REST or OData, and scripting with Python or Shell. - Understanding of process mining and familiarity with CI/CD and DevOps practices. - Experience working across functions in agile teams, with clear communication and technical documentation skills.

Nice to have - Knowledge of data governance, security controls, and other platform components such as Studio or Action Flows. - Experience in manufacturing, supply chain, or other operations-focused environments. - Strong analytical skills, attention to detail, and a continuous improvement mindset.