Data Engineering Specialist

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About the role

• 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 feasibility   • 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  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 s

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