Lead Data Engineer

Paris - France

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 youll take ownership of the design delivery and evolution of data architectures powering Sanofis next-generation AI workflows. Youll lead a small team of engineers setting the technical direction while staying hands-on with architecture and implementation.

What youll 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 Sanofis global digital standards.

Requirements

You 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.
68 years of experience in data engineering ideally within enterprise or global settings.
Bachelors or Masters 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.

Required Skills:

Python SQL AWS Snowflake AI

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 ag...