Data Platform Engineer Analyst

About Sanofi:

We are Sanofi, an innovative global healthcare company that chases the miracles of science to improve people's lives. As an R&D-driven, AI-powered biopharma leader, we work across 100 countries to transform the practice of medicine by turning the impossible into the possible. Our expertise spans vaccines, rare diseases, rare blood disorders, neurology, immunology, oncology, diabetes, and cardiovascular diseases. Guided by our core values - Aim Higher, Act for Patients, Be Bold, and Lead Together - we provide life-changing treatment options and life-saving vaccine protection to millions globally while putting sustainability and social responsibility at the center of our ambitions.

Who You Are:

You are enthusiastic about building your skills as a data or cloud engineer and eager to contribute to impactful projects. You have some experience with back-end or front-end technologies and a strong interest in developing reliable, practical solutions. You enjoy learning new things, working with others, and are motivated to help the team succeed. With a collaborative spirit and a desire to grow, you communicate clearly and are always ready to take on new challenges alongside experienced colleagues.

Position summary:

Join Sanofi’s data platform engineering team and play a key role in advancing analytics, AI, and ML initiatives that shape the future of healthcare. As a Data Engineer, you’ll design and deliver scalable solutions, and collaborate closely with leadership and teams to address both immediate and long-term business needs. Enjoy opportunities to learn from experts across technical and business domains, and drive impactful, data-driven innovation.

Key Responsibilities:

• Collaborate closely with experienced data engineers, data scientists, and stakeholders to deeply understand complex data needs—especially in crucial domains like bioinformatics, omics, and clinical data
• Design, build, and maintain robust data infrastructure on AWS Cloud in support of our data mesh architecture
• Automate, optimize, and fine-tune platform provisioning, scaling, and maintenance tasks to boost operational efficiency, performance, scalability, and cost control
• Implement data monitoring and alerting systems, and partner with DevOps teams to proactively identify and resolve data issues
• Ensure data security, compliance, and governance at every stage of the data platform, following global standards and best practices
• Develop foundational knowledge in implementing data warehouses, data lakes, and distributed processing technologies—such as Spark, Hadoop, and Kafka—in production environments
• Develop advanced proficiency with SQL (preferably Snowflake) and both relational and non-relational databases to optimize complex queries and data manipulation
• Develop mastery in programming languages (like Python, Shell scripting, and Scala/Java) for the development of sophisticated data engineering solutions
• Work within cross-functional agile teams to contribute to the architecture and deployment of hybrid-cloud solutions and automated pipelines, ensuring seamless and high-performance data processing
• Document data infrastructure design, configuration, and processes thoroughly for reference and training purposes
• Engage actively within the data engineering community by sharing insights, best practices, and innovations that contribute to broader industry progress

Qualifications:

• Bachelor's/Master's in STEM or a relevant field with proven experience in data engineering
• Strong knowledge of data integration technologies, ETL/ELT, modern data engineering technologies and Data Mesh architectures
• Strong knowledge of SQL, relational/non-relational databases, and data query optimization. Proficiency in programming languages such as Python, Shell scripting, and Scala/Java
• Experience in managing cloud-native systems following IaC and DataOps principles (terraform, CI/CD, Orchestration, Actions)
• Strong knowledge of agile development processes and concepts
• Excellent problem-solving skills and attention to detail
• Excellent communication, presentation, and interpersonal skills
• Curiosity and a commitment to continuous learning and improvement

Nice to Haves:

• Experience in the life sciences/pharmaceutical industry
• Familiarity with Data Mesh concepts such as data as a product, domain-driven design, and federated computational governance
• Familiarity with visualization tools (PowerBI, Tableau) and project management tools (JIRA, Confluence)

If you are a Data or Cloud Engineer looking for an exciting opportunity to shape the future of healthcare through data-driven insights and transformative solutions, we encourage you to apply for this key position. Join us in making a significant impact on the lives of global patients and customers through innovative data engineering solutions. We look forward to hearing from you!

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