À propos du poste
Permanent data-engineering role building the pipelines and platforms that AI and analytics actually run on - lakehouse architecture, governed data, and RAG-ready data flows.
Responsabilités
- Design data architectures: data lake, warehouse and lakehouse
- Model data and integrate heterogeneous sources
- Build and operate pipelines in SQL and Python or Scala
- Run cloud data platforms (Microsoft Azure preferred)
- Own data governance and data quality
- Provision data for AI, ML and GenAI workloads including RAG data flows
L'IA gère · Vous gérez
L'IA gère
Pipeline and transformation scaffolds · Data-quality test generation · Schema documentation · Profiling
Vous gérez
Data-model decisions · Quality gates · Governance compliance · Pipeline reliability
Votre profil
- Data architectures (lake / warehouse / lakehouse)
- Data modelling and integration of heterogeneous sources
- SQL plus Python or Scala
- Cloud data platforms, preferably Microsoft Azure
- Data governance and data quality; data provisioning for AI/ML/GenAI incl. RAG
- German C2 (technical discussion may be in English)
Qualifications
- Relevant professional experience in data engineering
- Degree in computer science, data science or equivalent practical experience
- Cloud data certification welcome