Senior Ai Data Engineer

IQVIA

Sofia, Bulgaria
Hybrid
Scalable data pipelines and etl
Data models for ai and ml
Data governance and security
Lead the development and optimization of data infrastructure supporting Agentic AI initiatives

Job Summary

  • Lead the development and optimization of data infrastructure supporting Agentic AI initiatives.
  • Collaborate with ML engineers, AI scientists, and product managers to architect, implement, and maintain robust data pipelines powering autonomous AI agents.
  • Drive data platform reliability, scalability, and cost optimization across cloud-based infrastructure.

Matching Summary

Lead the development and optimization of data infrastructure supporting Agentic AI initiatives.

Skills & Requirements

Must-have

  • Scalable data pipelines and ETL
  • Data models for AI and ML
  • Data governance and security
  • Observability and monitoring frameworks
  • Distributed computing frameworks (Spark, Dask, Ray)
  • Streaming technologies (Kafka, Flink)
  • Cloud-based infrastructure (AWS, Azure, GCP)

Nice-to-have

  • Agentic AI applications
  • Vector databases and knowledge graphs
  • Real-time agent feedback
  • LLM fine-tuning data requirements
  • Prompt engineering and RAG systems

Key Requirements

  • 5+ years professional data engineering experience
  • 2+ years ML/AI data infrastructure experience
  • Advanced Python and Scala proficiency
  • Expert-level SQL and NoSQL knowledge
  • Experience with vector databases
  • Proficiency with Airflow 2.x
  • Experience with Docker and Kubernetes
  • Experience with Terraform

Work Rights

Not specified

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