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Salary
≈ $47k – $84k per year (Estimated)
Location
Hybrid (Kraków, Poland)
Seniority
Middle · 3+ years exp
Employment
Full-Time

First seen by Alion on Oct 8, 2026.

Overview
Company
Impact
Profile match
BNP Paribas Bank Polska is a Polish universal bank and part of the French BNP Paribas group, listed on the Warsaw Stock Exchange. It serves individual customers, small businesses, farmers and corporate clients with accounts, loans, leasing, investment products and digital banking, and is one of the largest lenders to the Polish agricultural sector. The company is headquartered in Warsaw, Poland.

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 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 month

  • Equivalent for remote work expenses (120 PLN per month)

  • Stable employment in the international company

  • Fully paid private medical care for 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

If the offer sounds interesting to you - please be invited to apply with your resume in English.

Tech stack

  • SQL
  • Data modeling
  • Celonis
  • Python
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