Lead Data Engineer

Coders Connect is proud to be partnering with Sanofi to support the growth of their AI Workflow Engineering team, a cutting-edge group leading global initiatives in intelligent automation and GenAI deployment.
Based in Paris, this role offers the chance to work on a truly unique project, deploying AI agents at scale across an international enterprise.
As a Data Engineering Lead, you'll take ownership of the design, delivery, and evolution of data architectures powering Sanofi's next-generation AI workflows. You'll lead a small team of engineers, setting the technical direction while staying hands-on with architecture and implementation.
What you'll do:

• Lead the design and delivery of data pipelines, datamarts, and AI workflows, ensuring scalability, compliance, and performance.
  
• Collaborate with product and business stakeholders to translate complex requirements into robust technical architectures.
  
• Work with architects and software engineers to build Snowflake-based datamarts, leveraging DBT, Airflow, and Python for orchestration and automation.
  
• Define and continuously refine DataOps and MLOps practices, integrating CI/CD pipelines via GitHub Actions and Terraform on AWS.
  
• Provide technical leadership and mentorship to a small team, fostering growth and accountability.
  
• Ensure data quality and observability through testing, validation, and proactive monitoring.
  
• Integrate GenAI, RAG pipelines, and agentic AI systems into enterprise production workflows.
  
• Stay at the forefront of data and AI innovation, aligning solutions with Sanofi's global digital standards.
  

RequirementsYou are a hands-on data engineering leader with a passion for building high-performing teams and architecting scalable data ecosystems. You thrive at the intersection of data, AI, and automation. Designing solutions that make AI workflows reliable, efficient, and business-impactful.

• Proven experience leading end-to-end data engineering projects from concept to production.
  
• Deep expertise in Snowflake, Airflow, DBT, Python, AWS, Terraform, and GitHub Actions.
  
• Strong proficiency in SQL and relational database design.
  
• Knowledge of MLOps and DataOps principles, including observability, reproducibility, and CI/CD standards.
  
• Experience integrating GenAI, RAG, or Agentic AI pipelines into large-scale environments.
  
• Understanding of regulated data environments and compliance best practices.
  
• Excellent leadership and mentorship abilities.
  
• Strong communication skills with both technical and business stakeholders.
  
• Analytical, structured, and proactive in problem-solving and delivery.
  
• Service-oriented and highly collaborative team player.
  
• 6–8 years of experience in data engineering, ideally within enterprise or global settings.
  
• Bachelor's or Master's in Computer Science, Engineering, or related field.
  
• Experience in the healthcare or regulated industry is a strong plus.
  

Benefits

• Be part of a global AI-powered biopharma leader driving digital transformation at scale.
  
• Work on groundbreaking AI agent deployment projects that directly impact global business operations.
  
• Enjoy exceptional growth opportunities through international exposure, promotions, and continuous learning.
  
• Benefit from a comprehensive rewards package, including top-tier healthcare and 14 weeks of gender-neutral parental leave.
  
• Collaborate within a forward-thinking, inclusive team where innovation and well-being go hand in hand.
  

Join Sanofi and lead the data foundation behind AI workflows that are redefining how a global organization thinks, works, and delivers healthcare to the world.