Data Engineer for Live Intelligence (m/w/d)
Core
Building robust data pipelines, integrating complex data sources, and developing Knowledge Graphs and AI models for real-time analytics and intelligent systems.
Role type
Data Engineer (Real-time Intelligence & Knowledge Graphs)
Builds
Production data pipelines, Knowledge Graphs, and AI-integrated analytics solutions
Domain
Industrial data engineering, AI, and Knowledge Graphs (Aviation, Automotive, Energy)
Deliverable
production ML models
Required skills
Python, SQL, Data Pipeline Design, Data Integration, Knowledge Graphs, Semantic Data Modeling, Workflow Automation, Data Governance, Dashboarding
Preferred skills
Cloud platforms (AWS, Azure, GCP), NoSQL/Graph/Vectordatabases, CI/CD, Industry domain knowledge (Aviation/Automotive/Energy)
Technologies
Python, SQL, Knowledge Graphs, NoSQL, Graph Databases, Vectors, Cloud (AWS/Azure/GCP), CI/CD tools
Responsibilities
Design and optimize data pipelines for structured and unstructured data; Integrate and model data from diverse sources; Build and evolve Knowledge Graphs; Implement analytics algorithms and integrate AI models; Ensure data quality and governance standards; Create dashboards for data visualization.
Seniority
Entry-level / Junior (open to students/interns with first practical experience)
