Data & AI Engineering Lead

Coders Connect; Paris; Sur place; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A tech recruitment firm is seeking a Lead Data Engineer to join a global AI Workflow Engineering team in Paris. This role involves designing and delivering data architectures for AI workflows, leading a team, and collaborating with stakeholders. The ideal candidate has strong experience with Snowflake, Airflow, and Python, and is passionate about data and AI automation. This position offers the opportunity to impact global business operations in a cutting-edge biopharma environment.

Prestations

Comprehensive rewards package

Top-tier healthcare

14 weeks of gender-neutral parental leave

Qualifications

• 6–8 years of experience in data engineering, ideally within enterprise or global settings.
• Proven experience leading end-to-end data engineering projects from concept to production.
• Experience integrating GenAI, RAG, or Agentic AI pipelines into large-scale environments.

Responsabilités

• Lead the design and delivery of data pipelines, datamarts, and AI workflows.
• Collaborate with product and business stakeholders.
• Work with architects and software engineers on Snowflake-based datamarts.

Connaissances

Snowflake

Airflow

DBT

Python

AWS

Terraform

GitHub Actions

SQL

Formation

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Description du poste

Job Description

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 Lead Data Engineer, 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.

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.
• 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.

Key technologies: Python, SQL, AWS, Snowflake, AI.

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.