Ai Data Engineer

IQVIA

Base: 119,500.00 zł - 222,100.00 zł; bonus/equity:...
Not specified (assumed hybrid based on industry norms).
Scalable data pipeline development
Python programming proficiency
Sql and nosql database experience
IQVIA is seeking a mid-level AI Data Engineer to enhance data infrastructure for their AI initiatives. The role involves collaborating with various teams to develop and maintain scalable data pipelines, ensuring data governance and reliability. The ideal candidate should possess strong technical skills in data engineering, particularly with SQL, Python, and cloud platforms

Job Summary

  • This role focuses on building reliable data pipelines that enable autonomous and semi-autonomous AI agents within the R&DS AI Innovation Program.
  • Candidates will collaborate with ML engineers and AI scientists to translate complex data requirements into production-ready ingestion and transformation solutions.
  • The position offers a competitive base pay range of 119,500.00 zł to 222,100.00 zł along with potential incentive plans and health benefits.

Matching Summary

Match Score: 85

IQVIA is seeking a mid-level AI Data Engineer to enhance data infrastructure for their AI initiatives. The role involves collaborating with various teams to develop and maintain scalable data pipelines, ensuring data governance and reliability. The ideal candidate should possess strong technical skills in data engineering, particularly with SQL, Python, and cloud platforms.

Salary

Base: 119,500.00 zł - 222,100.00 zł; Bonus/Equity: Incentive plans may be offered; Benefits: Health, welfare, and other benefits included

Skills & Requirements

Must-have

  • Scalable data pipeline development
  • Python programming proficiency
  • SQL and NoSQL database experience
  • Cloud platform (AWS/Azure/GCP) usage
  • Data governance and security controls

Nice-to-have

  • Vector embedding store implementation
  • RAG pipeline familiarity
  • Docker and Kubernetes orchestration
  • Streaming or event-driven processing
  • LLM fine-tuning dataset preparation

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 3+ years of professional data engineering experience
  • Strong proficiency in Python and SQL

Work Rights

Not specified

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