Data Engineer

Coders Connect is partnering with Sanofi to find a Data Engineer who can drive real-time data, IoT, and streaming analytics in one of the most advanced manufacturing environments in the world.

Based in Lyon – 3 days on-site, 2 remote.

Why this role?

Join Sanofi’s Manufacturing & Supply (M&S) Accelerator, where cutting-edge AI, IoT, and data-driven innovation are transforming global manufacturing. You’ll work at the heart of a high-impact digital team supporting 12 blockbuster drug launches and 40 global factories, tackling some of the most complex data challenges in the industry.

This is your chance to design and optimise real-time data solutions, ensuring seamless production processes, predictive maintenance, and smarter manufacturing decisions powered by data.

What you’ll be working on:

1. Building and optimising streaming data pipelines for real-time IoT and time series data
2. Developing scalable solutions using Snowflake, DBT, and vector databases
3. Architecting high-performance data workflows for advanced analytics and machine learning
4. Collaborating with data scientists, analysts, and engineers to unlock new manufacturing insights
5. Enforcing data quality, governance, and security in a highly regulated environment
6. Working on mission-critical data projects that impact millions of patients worldwide
7. Being part of the M&S Accelerator – a team at the forefront of digital transformation in pharma
8. Hybrid setup: 3 days on-site in Lyon, 2 remote – the best mix of collaboration and flexibility
9. A startup-style culture backed by the resources of a global biopharma leader
10. A dynamic city with world-class food, culture, and an amazing tech ecosystem

What You Need to Bring:

1. Strong data engineering experience, with a deep understanding of data architecture, processing, and optimisation.
2. Proficiency in Python and SQL, with hands-on experience in building and managing data pipelines.
3. Ability to design and implement scalable, high-performance data solutions that support real-time analytics and complex data workflows.
4. Experience with streaming data, time series processing, or vector databases, enabling efficient data ingestion and analysis in real-time environments.

Nice to Have:

1. Manufacturing industry experience (pharma not required – automotive, chemicals, or IoT-heavy industries are a good fit).
2. Familiarity with Snowflake, DBT, or cloud platforms (AWS preferred) - experience with any of these technologies is a plus.

This is a high-impact role in a team that’s changing the future of manufacturing.

If you’re excited about IoT, real-time analytics, and next-gen manufacturing data, let’s chat!