Data & AI Engineering Specialist
Sanofi · On-site · Full-time · Barcelona
Posted (18h ago)
- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Oct 30, 2026. If Sanofi reposts it, we keep the original posting date.
- Level
- Mid-level
- Work setup
- On-site
- Tech mentioned
- Spark, Scala, dbt, Python, SQL, Snowflake, Airflow
- Sanofi hiring
- 13 roles posted in the last 30 days
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.
#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.
Sanofi job ID: Data---AI-Engineering-Specialist_R2874556-1
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