Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D;, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. We are seeking an experienced Data Engineering Specialist interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers.
We are a integral biopharmaceutical company focused on human health, committed to chasing the miracles of science to improve people's lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life‑saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Establish technical designs to meet Sanofi requirements aligned with the architectural and Data standards
Mentor and train junior team members
Ownership of the entire back end of the application including the design, implementation, test, and troubleshooting of the core application logic, databases, data ingestion and transformation, data processing and orchestration of pipelines, APIs, CI/CD integration and other processes
Fine-tune and optimize queries using Snowflake platform and databases techniques
Optimize ETL/data pipelines to balance performance, functionality, and other operational requirements




Assess and resolve data pipeline issues to ensure performance and timeliness of execution
Assist in setting up and managing CI/CD pipelines and development of automated tests
Developing and managing microservices using python
Conduct peer reviews for quality, consistency, and rigor for production-level solution
Design application architecture for efficient concurrent user handling, ensuring optimal performance during high usage periods
Promote best practices and standards for code management, automated testing, and deployments
Own all areas of the product lifecycle: design, development, test, deployment, operation, and support
5+ years of relevant experience developing backend, integration, data pipelining, and infrastructure
~ Bachelor’s degree in computer science, engineering, or similar quantitative field of study
~ Expertise in database optimization and performance improvement
~ Expertise in Python, PySpark, and Snowpark
~ Experience data warehouse and object-relational database (Snowflake and PostgreSQL) and writing efficient SQL queries
~ Experience in cloud-based data platforms (Snowflake, AWS)
~ Proficiency in developing robust, reliable APIs using Python and FastAPI Framework
~ Understanding of data structures and algorithms
~ Experience in modern testing framework (SonarQube, K6 is a plus)
~ Strong collaboration skills, willingness to work with others to ensure seamless integration of the server-side and client-side




~ Knowledge of DevOps best practices and associated tools, a plus, especially in the setup, configuration, maintenance, and troubleshooting of associated tools: Containers and containerization technologies (Kubernetes, Argo, Red Hat OpenShift)
~ Infrastructure as code (Terraform)
~ Monitoring and Logging (CloudWatch, Grafana)
~ Scripting and automation (Python, GitHub, Github actions)
~ Experience with JIRA & Confluence
~ Fluent English (written and verbal)

Make a real impact — build tools and platforms that directly improve and save lives at a global leader in healthcare
Work at the cutting edge — contribute to products deployed globally on a leading-edge tech stack at the intersection of software engineering, cloud architecture, data platforms, and AI
Learn from the best — access world‑class mentorship and training, working with renowned leaders and academics in machine learning, data, and software engineering
We are an R&D; driven, AI-powered biopharma company committed to improving people’s lives and creating compelling growth.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.Discover more about us visiting or via our movie We are Sanofi Start a career that makes a difference. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug‑discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.
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📌 Data Engineering Specialist-Big Data (Barcelona)
🏢 Sanofi
📍 Barcelona