Requirements: English
Company: Coders Connect
Region: Lyon , Auvergne-Rhne-Alpes
Coders Connect is partnering with Sanofi to find aData Engineer who can drive real-time data, IoT, and streaminganalytics in one of the most advanced manufacturing environments inthe world. Based in Lyon 3 days on-site, 2 remote. Why thisrole? Join Sanofis Manufacturing & Supply (M&S)Accelerator, where cutting-edge AI, IoT, and data-driven innovationare transforming global manufacturing. Youll work at the heart ofa high-impact digital team supporting 12 blockbuster drug launchesand 40 global factories, tackling some of the most complex datachallenges in the industry. This is your chance to design andoptimise real-time data solutions, ensuring seamless productionprocesses, predictive maintenance, and smarter manufacturingdecisions powered by data. What youll be working on: - Buildingand optimising streaming data pipelines for real-time IoT and timeseries data - Developing scalable solutions using Snowflake, DBT,and vector databases - Architecting high-performance data workflowsfor advanced analytics and machine learning - Collaborating withdata scientists, analysts, and engineers to unlock newmanufacturing insights - Enforcing data quality, governance, andsecurity in a highly regulated environment Why join Sanofi? -Work on mission-critical data projects that impact millions ofpatients worldwide - Be part of the M&S Accelerator a team atthe forefront of digital transformation in pharma - Hybrid setup: 3days on-site in Lyon, 2 remote the best mix of collaboration andflexibility - A startup-style culture backed by the resources of aglobal biopharma leader - A dynamic city with world-class food,culture, and an amazing tech ecosystem What You Need to Bring: -Strong data engineering experience, with a deep understanding ofdata architecture, processing, and optimisation. - Proficiency inPython and SQL, with hands-on experience in building and managingdata pipelines. - Ability to design and implement scalable,high-performance data solutions that support real-time analyticsand complex data workflows. - Experience with streaming data, timeseries processing, or vector databases, enabling efficient dataingestion and analysis in real-time environments. Nice to Have: -Manufacturing industry experience (pharma not required automotive, chemicals, or IoT-heavy industries are a good fit). -Familiarity with Snowflake, DBT, or cloud platforms (AWS preferred)- experience with any of these technologies is a plus. This is ahigh-impact role in a team thats changing the future ofmanufacturing. If youre excited about IoT, real-time analytics,and next-gen manufacturing data, lets chat!