KI-Plattform-Experte (m/w/d) mit Schwerpunkt Data Lake und Data Engineering
Core
Building and operating a scalable Data Lake and Data Engineering environment in Databricks as the foundation for AI, data analysis, and reporting.
Role type
Senior Data Platform Engineer (Data Lake & Data Engineering)
Builds
Robust data pipelines, data products, and scalable Data Lake/Lakehouse architectures for generative AI and analytics.
Domain
Financial Services / Data Engineering & AI Infrastructure
Deliverable
production ML models
Required skills
Data Lake/Lakehouse architecture design, Data pipeline orchestration (ETL/ELT), SQL, Python, Databricks, Cloud platforms (Azure), Machine Learning model operationalization, RAG, Vector databases, Semantic search, MCP.
Preferred skills
Experience with Generative AI application architectures, Model Context Protocol (MCP), Time series analysis.
Responsibilities
Design and optimize data pipelines for structured and unstructured data integration; Ensure data quality, availability, and consistency via monitoring and standards; Collaborate with AI developers and scientists to implement data-driven AI use cases.
Seniority
Senior, hands-on IC
