Data Platform Engineer Analyst

Data Platform Engineer Analyst page is loaded## Data Platform Engineer Analyst locations:
Barcelona time type:
Vollzeitposted on:
Heute ausgeschriebentime left to apply:
Enddatum:
8. Januar 2026 (Noch 20 Tage Zeit für Bewerbung) job requisition :
R2818264#
** 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.##

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* 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.###

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* 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 Dev Ops 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###
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* 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…