Data Engineer
Core
Design and maintain modern, scalable data pipelines to enable AI and GenAI value realization.
Role type
Data Engineer (AI/GenAI focus)
Builds
Scalable data pipelines, AI-ready architectures, real-time processing, and data governance.
Domain
Data Engineering, Artificial Intelligence, Generative AI
Deliverable
production ML models | infrastructure
Required skills
Python, Scala, Spark, Kafka, Data Modeling, Data Governance, Cloud Platforms (AWS, Azure, GCP)
Preferred skills
Context Engineering, GenAI platform experience
Technologies
Spark, Kafka, Python, Scala, AWS, Azure, GCP, Anthropic Claude, RAISE
Responsibilities
Design and maintain modern and scalable data pipelines; Build architectures enabling AI and GenAI value; Intervene on ingestion, real-time processing, modeling, and governance; Use Python or Scala to manipulate and enrich datasets.
Seniority
Mid to Senior level (implied by 'expert' and technical playoffs)
