Data Engineer / Scientist | Data Engineer / Scientist (m/w/d)

Job Summary

This Data Engineer / Scientist role at S-Payment, a core entity within the Sparkassen-Finanzgruppe, offers the opportunity to directly shape the future of digital payment solutions for over 45 million customers. The successful candidate will be instrumental in building and maintaining the company-wide central data platform, which supports advanced data and Artificial Intelligence (AI) use cases. Daily responsibilities include developing and establishing innovative, data-driven solutions within the dynamic payment environment, ensuring consistently high data quality through rigorous cross-departmental collaboration, and inspiring business units with new data strategies. To qualify, candidates must possess a Master's degree or PhD in a quantitative field such as Mathematics, Computer Science, or Physics. Essential technical requirements include profound knowledge of Big Data technologies, specifically Python, Spark/PySpark, Hadoop, and SQL, alongside experience in data visualization tools like PowerBi, Tableau, or Grafana. This position is attractive for those seeking a permanent, full-time role influencing major FinTech trends in Germany.