Data Engineer (all genders)
PRODYNA SE
Data Engineer (all genders) – Design & build modern data platforms, develop ETL pipelines, optimize data flows, ensure data quality, integrate with cloud (Azure/AWS), model data (Data Vault, Kimball), work with Big Data tech (Databricks, Spark, Kafka). Requires several years software dev experience, ETL tools, data modeling, Python/Scala/Java, fluent German & good English. Benefits: tech stack variety, mentoring, free laptop/phone, 30 days leave, flexible hours, mobile working, 400 €/year training budget, job‑ticket/bike, health & sport programs, relocation & childcare support, meal subsidies.
📊 Data Engineer
📊 Data Platforms
ETL
☁️ Azure
☁️ AWS
+11