data engineer in process mining

No description

• Design end-to-end data architecture for process mining solutions, ensuring scalability, maintainability, and alignment with project objectives;
• Define data engineering standards, best practices, and technical patterns for data pipelines, integration, and modelling;
• Lead technical solution design for process mining implementations, including architecture choices, data flows, and technical dependencies;
• Drive continuous improvement of data engineering practices, data quality controls, and technical documentation across process mining solutions;
• Mentor engineers and support technical decision-making through expert guidance, reviews, and knowledge sharing.

• 7+ Years of experience in a similar position;
• Advanced expertise in process mining data architecture and technical solution design;
• Proficiency in Celonis EMS, PQL, Data Integration, Data Modeling, ETL, OCPM/MCP, SQL, and Python;
• Experience defining engineering standards and best practices;
• Advanced English proficiency at C1 level;
• BSc degree in Management, IT, Project Management, Finance & Banking, or Business;
• Nice to have: Celonis Data Engineer or Data Analyst certification.

• 50% Working from home within a month;
• Equivalent for remote work expenses (120 PLN per month);
• Fully paid private medical care for the employee;
• Pre-paid lunch card;
• Employee Pension Plan;
• Co-financed Multisport Card;
• MyBenefit Cafeteria Platform;
• Life insurance;
• Car parking availability in the office building;
• Trainings and development opportunities.