Summary
✨ AI‑Generated
Join a data engineering team building reliable data foundations for process mining and continuous improvement. You will design and maintain scalable pipelines, datasets, and data models; integrate multiple source systems; and support process analytics and dashboards. The role requires 3–5 years of relevant experience and strong skills in PQL, SQL, Python, data integration, and process mining, with object-centric process mining experience as an advantage.
Highlights
Work on scalable data pipelines and models that enable process analysis and continuous improvement. The role combines data engineering, process mining, integration, analytics, and visualization, with exposure to advanced object-centric process mining concepts.
Description
We are looking for a Data Engineer - Process Mining to join our team.
In this position, you will be responsible for ensuring the availability, quality, and reliability of data required for Process Mining by designing, integrating, and maintaining scalable data pipelines, datasets, and data models.
The primary focus is on enabling accurate process analysis and supporting continuous improvement through robust data engineering and efficient integration of multiple source systems.
Data Engineer - Process Mining
Requirements
3 to 5 years of experience in similar position.Proficiency in PQL, SQL, Python, and various Data Visualization/BI tools.Hands-on experience with Process Mining (preferably Celonis EMS)Experience in Data Integration, Data Modeling, and Process Analytics.Expertise in process mining techniques, including query, dashboard, and data modeling.Working knowledge of OCPM (Object-Centric Process Mining).BSc degree in Management, IT, Project Management, Finance & Banking, or Business.
Celonis Data Engineer certification would be an asset.Advanced English language proficiency at a C1 level.
Responsibilities
Design, develop, and maintain robust data pipelines to ensure reliable and scalable data processing for Process Mining use cases.Integrate and transform data from multiple source systems into the Process Mining platform to ensure data availability and consistency.Develop and maintain structured datasets and technical data models to support efficient analytical requirements.Implement and optimize ETL solutions aligned with business requirements and technical standards.Monitor data quality, resolve data issues, and apply technical controls to ensure the integrity and stability of Process Mining data.Maintain technical documentation and contribute to engineering standards and automation initiatives to improve solution maintainability.
What We Offer
Hybrid work mode, 50% working from home within a monthEquivalent for remote work expenses (120 PLN per month)Stable employment in the international companyFully paid private medical care for employeePre-paid lunch cardEmployee Pension PlanCo-financed Multisport CardMyBenefit Cafeteria PlatformLife insuranceCar parking availability in the office buildingTrainings and development opportunities
If the offer sounds interesting to you - please be invited to apply with your resume in English.
