Data Engineering Specialist

Description

Location: Barcelona, Spain

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

Requirements

• 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.
• LI-Hybrid BarcelonaHub SanofiHubs
• Pursue progress , discover extraordinary
• Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.
• At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.
• Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com !
• The salary range for this position is :€49.600,00 - €74.400,00
• Final compensation will be determined based on demonstrated experience, skills, location, and other relevant factors. Employees may be eligible to participate in Company employee benefit programs.