Senior Data Engineer - Process Mining

BNP Paribas Bank Polska · Commercial & Retail Banks · Python · SQL · ETL/ELT · 23 days ago
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Salary
≈ $60k – $98k per year (Estimated)
Location
Hybrid (Kraków, Poland)
Seniority
Senior · 7+ years exp
Employment
Full-Time

First seen by Alion on Oct 8, 2026.

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BNP Paribas Bank Polska

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.
bnpparibas.pl · HQ: Warsaw, Poland · Commercial & Retail Banks · Est. 1975
Tech stack of BNP Paribas Bank Polska

We are looking for a Senior Data Engineer - Process Mining to join our team. In this position, you will be the owner of data engineering solutions, ensuring the design, governance, and continuous improvement of process mining data architecture to support scalable technical solutions. The primary focus is on defining engineering standards, leading technical solution designs, and driving the continuous improvement of data pipelines and quality controls to enable advanced process mining capabilities.


Senior Data Engineer - Process Mining


Requirements:

  • 7+ years of experience in similar position.

  • Advanced expertise in process mining data architecture and technical solution design.

  • Proficiency in Celonis EMS, Data Integration, Data Modeling, ETL, OCPM/MCP, SQL, and Python.

  • Experience defining engineering standards and best practices.

  • Advanced English language proficiency at a C1 level.

  • BSc degree in Management, IT, Project Management, Finance & Banking, or Business. Celonis Data Engineer or Data Analyst certification will be an asset.

Responsibilities:

  • 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 by providing expert guidance, reviews and knowledge sharing.

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

  • Celonis
  • Data modeling
  • Data Integration
  • SQL
  • Python
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