What is Data Engineering?
Data engineering builds the technical infrastructure that collects, cleans, transforms and makes raw data available for analytics, BI dashboards, and AI models.
What Does Data Engineering Cost for SMEs?
| Model | Duration | Investment | Ideal for |
|---|---|---|---|
| Starter Pipeline | 2–4 Wochen | 5.000–12.000 € | Erste strukturierte Datenbasis |
| Multi-Source Integration | 4–8 Wochen | 12.000–40.000 € | 3–7 Quellsysteme, Data Vault |
| Data Platform | 3–6 Monate | 40.000–120.000 € | Unternehmensweit, Real-time |
| DataOps Retainer | Laufend | ab 800 €/Monat | Betrieb, Monitoring, Erweiterung |
LSI Analytics Expertise
✅ PySpark & Delta Lake from automotive projects (petabyte scale)
✅ Data Vault 2.0 & medallion architecture
✅ Real-time streaming with Kafka & Azure Event Hub
✅ Kubernetes-native orchestration
✅ Multi-cloud: Azure, AWS, GCP & on-premise
✅ GDPR-compliant data architecture by design