Data Engineer

JR France; Rhône; Sur place; EUR 45 000 - 65 000; Plein temps

Résumé du poste

A leading company in biopharma seeks a Data Engineer to drive real-time data solutions and support complex analytics within manufacturing. Join a high-impact digital team in Lyon, where innovation meets collaboration and flexibility with a hybrid working setup. Your expertise in Python, SQL, and data architecture will contribute to transforming global manufacturing and enhancing patient outcomes.

Prestations

Hybrid work arrangement: 3 days on-site, 2 remote

Startup-style culture with global resources

Dynamic city with world-class food and culture

Qualifications

• Strong data engineering experience and proficiency in Python and SQL.
• Ability to design and implement scalable, high-performance data solutions.
• Experience with streaming data and time series processing is essential.

Responsabilités

• Build and optimize streaming data pipelines for real-time IoT data.
• Develop scalable solutions using Snowflake and DBT.
• Architect high-performance data workflows for advanced analytics.

Connaissances

Data Engineering

Python

SQL

Data Architecture

Streaming Data

Time Series Processing

Data Quality

Data Governance

Real-time Analytics

Outils

Snowflake

DBT

AWS

Description du poste

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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:

• Building and optimising streaming data pipelines for real-time IoT and time series data
• Developing scalable solutions using Snowflake, DBT, and vector databases
• Architecting high-performance data workflows for advanced analytics and machine learning
• Collaborating with data scientists, analysts, and engineers to unlock new manufacturing insights
• Enforcing data quality, governance, and security in a highly regulated environment
• Work on mission-critical data projects that impact millions of patients worldwide
• Be part of the M&S Accelerator – a team at the forefront of digital transformation in pharma
• Hybrid setup: 3 days on-site in Lyon, 2 remote – the best mix of collaboration and flexibility
• A startup-style culture backed by the resources of a global 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 of data architecture, processing, and optimisation.
• Proficiency in Python and SQL , with hands-on experience in building and managing data pipelines.
• Ability to design and implement scalable, high-performance data solutions that support real-time analytics and complex data workflows.
• Experience with streaming data, time series processing, or vector databases , enabling efficient data ingestion and analysis in real-time environments.
• 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 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! ?