Data & Ai Engineering Specialist

Sanofi UK

Hyderabad, India
Hybrid
5+ years data engineering experience
Cloud platforms snowflake aws azure gcp
Python sql for data transformation
This role is responsible for designing and building end-to-end data pipelines that power breakthrough discoveries and improve patient outcomes within Sanofi's AI-Ready Data framework

Job Summary

  • This role is responsible for designing and building end-to-end data pipelines that power breakthrough discoveries and improve patient outcomes within Sanofi's AI-Ready Data framework.
  • The specialist will implement automated data preparation workflows using AI agent tooling to ensure data is trusted, secure, and accessible for enterprise-wide AI consumption.
  • Candidates will work in a global, regulated biopharma environment to maintain compliance with GDPR, HIPAA, and other regulatory requirements while collaborating with cross-functional teams.

Matching Summary

This role is responsible for designing and building end-to-end data pipelines that power breakthrough discoveries and improve patient outcomes within Sanofi's AI-Ready Data framework.

Skills & Requirements

Must-have

  • 5+ years data engineering experience
  • Cloud platforms Snowflake AWS Azure GCP
  • Python SQL for data transformation
  • Apache Spark dbt Airflow pipeline development
  • Informatica CDGC or similar governance tools
  • GDPR HIPAA compliance knowledge
  • Metadata management and data lineage

Nice-to-have

  • Generative AI LLM agentic systems experience
  • Pharmaceutical R&D clinical trials domain knowledge
  • Unstructured data processing NLP document AI
  • Real-time streaming Kafka Kinesis architecture
  • Informatica CDGC Collibra certification
  • Responsible AI principles understanding
  • Enterprise AI data enablement platform exposure

Key Requirements

  • Bachelor's degree in Computer Science or related field (Master's preferred)
  • 5+ years hands-on experience in data engineering or AI/ML data engineering
  • Experience in pharmaceutical, life sciences, or regulated industry environments
  • Proficiency in schema-as-code and automated catalog management
  • Hands-on experience with API/programmatic governance workflows

Work Rights

Not specified

Tailored Resume

Cover Letter