Data & AI Engineering Specialist

Sanofi; Barcelona; On-site; EUR 65,000 - 90,000; Full time

Job summary

Sanofi is seeking a Data Engineer to join the Manufacturing & Supply Digital organization in Barcelona. You will help build the data foundations of an AI-first company, turning data into insights that accelerate medicines and vaccines to patients.

You will design scalable data pipelines, work with data scientists and product teams, promote best practices in CI/CD, and mentor peers while ensuring data quality and governance.

Qualifications

• 6+ years in data engineering, data warehousing or BI, in cross-functional teams.
• Experience with Spark/Scala, Python, SQL and data modeling.
• Life sciences or pharma experience is a plus.

Responsibilities

• Propose and establish technical designs that meet business and technical requirements.
• Build, optimize and maintain data and ETL pipelines, ensuring they are tested and production-ready.
• Gather and organize large, complex data assets and analyze them to unlock business value.
• Partner with business and product teams to translate needs into technical solutions.
• Promote best practices in code management, automated testing, CI/CD and deployments.
• Coach fellow data engineers and conduct peer reviews for quality and consistency.
• Create clear documentation to support knowledge transfer and maintenance.
• Contribute to Data Engineering community and define leading practices.
• Communicate results clearly to stakeholders while ensuring data quality, security and governance.

Skills

Spark/Scala

Python & Shell

SQL & Data modeling

Cloud data platforms

Orchestration tools

GitHub

Batch, near real-time & streaming

Fluent English

Education

Bachelor's degree in Computer Science or related field

Tools

Informatica/IICS

dbt

Snowflake

Airflow

GitHub

Job description

Location: Barcelona, Spain

About the Job

As a Data Engineer within Sanofi's Manufacturing & Supply Digital organization, you'll help build the data foundations of an AI-first company, turning data into the insights that bring medicines and vaccines to patients faster.

Sanofi is on an ambitious digital transformation journey, and accelerating data, AI and machine learning is at its core. You'll work in cross-functional pods within our AI Factory, combining data management, AI and product development skills to design globally scalable solutions. You'll make key datasets available to data scientists, analysts and business users across the enterprise.

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

• Propose and establish technical designs that meet business and technical requirements
• Build, optimize and maintain data and ETL pipelines, making sure they are tested, validated and ready for production
• Gather and organize large, complex data assets and analyze them to unlock business value
• Partner with business and product teams to translate needs into technical solutions
• Promote best practices in code management, automated testing, CI/CD and deployments
• Coach fellow data engineers and conduct peer reviews to ensure quality, consistency and rigor
• Create clear documentation to support knowledge transfer, training and maintenance
• Contribute actively to the Data Engineering community, helping define leading practices and frameworks
• Communicate results and findings clearly to stakeholders, while complying with data quality, security and governance standards

About You

• Experience: 6+ Years of experience in data engineering, integration, data warehousing or business intelligence, working in cross-functional teams on complex data architecture challenges. Life sciences or pharma experience is a plus
• Technical skills: Spark/Scala, Informatica/IICS or dbt; Python and shell scripting; strong SQL, relational databases, data modeling and query tuning; cloud data platforms (Snowflake is a plus); orchestration tools (Airflow is a plus); source code management (GitHub is a plus). Familiarity with batch, near real-time and streaming ingestion and with data warehouse concepts (data mesh is a plus)
• Soft skills: Pragmatic problem‑solver with technical intuition and attention to detail. Service‑oriented, approachable team player who communicates ideas clearly to peers and leaders and thrives in a fast‑paced, agile environment
• Education: Bachelor’s degree or equivalent in Computer Science, Engineering or a related field
• Languages: Fluent English (other languages are a plus)

Why choose us?

• Global impact: Your work will help bring drugs and vaccines to patients worldwide faster
• Cutting‑edge technology: Build products on a leading‑edge tech stack, deployed globally
• World‑class mentorship: Learn from renowned leaders and academics in machine learning
• Agile, collaborative culture: Work in versatile, cross‑functional pods in a fulfilling environment
• Continuous growth: Keep learning new technologies and shape industry‑leading practices
• Mission‑driven work: Every pipeline you build contributes to improving health and saving lives

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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