Senior Celonis Data Engineer

Specialist data engineering role focused on designing, building, and optimising data pipelines that power process mining and execution management initiatives within the Celonis platform.Acts as a critical bridge between data engineering and process analytics, ensuring high-quality, reliable, and scalable data models are available to business stakeholders.Enables organisations to uncover operational inefficiencies, identify process bottlenecks, and drive measurable improvements through data-driven insights.Operates across cross-functional teams, translating complex business requirements into robust technical data solutions.

Responsibilities

Data Integration & Pipeline Development

• Design, develop, and maintain data pipelines to ingest data into Celonis from multiple source systems, including ERP, CRM, relational databases, and APIs.
• Build and optimise ETL/ELT processes using Celonis Data Integration tools and external frameworks.
• Ensure accuracy, completeness, and consistency of data across all pipelines.
• Implement validation checks, monitoring frameworks, and data quality controls.
• Maintain comprehensive documentation for data models, pipelines, and transformation logic.
• Support real-time or near-real-time data ingestion requirements where applicable.

Data Modelling & Transformation

• Develop and maintain Celonis data models, including Data Pools and Data Models.
• Implement complex data transformations using SQL and Celonis Process Query Language (PQL).
• Ensure all data models are scalable, performant, and aligned with evolving business requirements.
• Apply source code control and versioning best practices across all data assets.
• Configure and manage security settings at Data Pool and Data Model levels.

Performance Optimisation

• Monitor and optimise data load performance and query execution within the Celonis environment.
• Identify system bottlenecks and implement improvements to enhance overall efficiency.
• Apply best practices for indexing, partitioning, and data structuring to maximise platform performance.

Collaboration & Stakeholder Engagement

• Partner closely with Process Analysts, Data Analysts, and Business Stakeholders to understand and deliver on data requirements.
• Translate business requirements into practical, maintainable technical data solutions.
• Support the development of dashboards and analyses within Celonis Studio.
• Contribute to internal security, data protection, and data access governance initiatives.

Automation & Integration

• Integrate Celonis with external systems via APIs and automation tooling.
• Contribute to the automation of business processes using Celonis Action Flows.
• Support continuous improvement of data engineering workflows and delivery pipelines.

Experience and education

Required

• Proven hands-on experience with Celonis, including Data Integration, Data Models, Spark, and PQL.
• Strong SQL skills and practical experience with relational databases such as PostgreSQL, SQL Server, or Oracle.
• Demonstrated experience working with APIs and data integration techniques, including REST and OData.
• Completion of relevant Celonis Academy courses, such as Data Engineer or EMS Developer certification.
• Solid understanding of process mining concepts and methodologies.
• Experience with scripting languages, particularly Python or Shell.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience working in cross-functional, agile team environments.

Advantageous

• Exposure to data governance frameworks and security best practices.
• Broad knowledge of Celonis EMS components, including Data Integration, Studio, and Action Flows.
• Industry experience in manufacturing, supply chain, or operations-intensive environments.
• Strong ability to produce clear, accurate technical documentation.

Soft Skills

• Strong analytical and problem-solving capability with a high attention to detail.
• Effective communicator with proven stakeholder management skills.
• Collaborative team player who thrives in cross-functional environments.
• Self-driven with a continuous improvement mindset.