Data Engineer/Python
emagine is looking for a Senior Data Engineer for our client to support initiatives related to Card Chargeback processing, specifically within the IRIS policy framework and associated batch variables. The assignment focuses on strengthening data foundations used to represent and challenge disputes raised by card schemes.
Start: ASAP (or within a month)
Duration: 6 months (extension possible)
Location: Stockholm, min 3 days/week at the office
The consultant will work closely with payments, risk, and operations stakeholders to ensure that chargeback-related data is reliable, traceable, and suitable for performance analysis and dispute evidence.
The consultant will be responsible for designing, building, and maintaining data pipelines and analytical structures related to the Card Chargeback service, including but not limited to:
Collecting, structuring, and evidencing data required to represent and challenge chargeback disputes from card schemes
Developing and maintaining data pipelines connected to the Card Chargeback service
Processing event data generated by the chargeback service
Integrating and normalizing PSP data sourced from external PSP portals
Supporting Card Chargeback performance tracking and reporting
Ensuring data quality, consistency, and auditability across batch and event-driven processes
Must-have skills:
Strong experience in Python and SQL
Proven background in Data Engineering, including pipeline development
Experience working with Airflow or similar orchestration tools
Nice-to-have experience:
Experience within Banking, Payments, or Financial Services
Familiarity with card schemes and chargeback processes
Proactive and solution-oriented with a strong “can-do” attitude
Takes ownership of assigned areas and drives continuous improvement
Comfortable working independently while collaborating with cross-functional teams
Data Engineer/Python
Data Engineer/Python