Location: Barcelona, Spain

About the Job

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.

About Sanofi

Sanofi is dedicated to supporting people through their health challenges. We are a global 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.

At Sanofi, we believe our people are our greatest strength, and we are committed to creating an inclusive environment where diverse perspectives drive innovation. Our values — Aim Higher, Act for Patients, Be Bold, and Lead Together — guide everything we do

Main responsibilities:

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 with technical solution discovery to ensure technical feasibilityAssist 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

About you:

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)
CI/CD Pipelines (JFrog Artifactory)
Scripting and automation (Python, GitHub, Github actions)
Experience with JIRA & Confluence
Fluent English (written and verbal)

Why choose us?

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
Grow your career — discover diverse opportunities through promotions, lateral moves, or international assignments in a company that values your development

Pursue Progress . Discover Extraordinary .

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

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Data Engineering Specialist

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