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IQVIA

Senior AI Data Engineer

IQVIA

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

Posted 3/27/2026full-timeMadrid • 🇪🇸 SpainSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureCloudDockerETLGoGoogle Cloud PlatformJavaKafkaKubernetesNoSQLPythonRayRustScalaSparkSQLTerraform

About the role

Key responsibilities & impact
  • 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.
  • Design, develop, and maintain scalable data pipelines and ETL processes supporting AI research and development.
  • Monitor and troubleshoot data pipeline issues to ensure continuity and reliability.
  • Drive data platform reliability, scalability, and cost optimization across cloud-based infrastructure.

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field; advanced degree preferred.
  • 5+ years of professional experience in data engineering, including at least 2 years focused on ML/AI data infrastructure.
  • Advanced proficiency in Python and Scala; experience with Rust, Go, Java, or Julia is valued.
  • Expert-level knowledge of SQL and NoSQL databases.
  • Hands-on experience with vector databases (e.g., Pinecone, Weaviate, Milvus).
  • Proficiency with modern data orchestration platforms (e.g., Airflow 2.x).
  • Extensive experience with at least one major cloud platform (AWS, Azure, or GCP).
  • Expertise in containerization and orchestration (Docker, Kubernetes).
  • Experience with Infrastructure as Code tooling (e.g., Terraform).
  • Experience with distributed computing frameworks (Spark, Dask, Ray).
  • Proficiency with streaming technologies (Kafka, Flink).
  • Knowledge of modern data lakehouse architectures.
  • Certifications in cloud platforms, big data technologies, engineering, or ML operations preferred.

Benefits

Comp & perks
  • Professional development opportunities
  • Flexible working arrangements

ATS Keywords

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Hard Skills & Tools
PythonScalaSQLNoSQLETLdata pipelinesdata engineeringcloud infrastructurecontainerizationdistributed computing