Data & Ai Engineer (M/F/D)

Allianz Commercial; Barcelona; Híbrido; EUR 50.000 - 74.000; Jornada completa

Descripción de la vacante

Sanofi is seeking a Data and AI Software Engineer Specialist in Barcelona to design and build full-stack applications and platform services across the OneMesh ecosystem. You will work with React, TypeScript, Node.js, and Python (FastAPI) to deliver data and AI-powered solutions, APIs, and dashboards.

You will deploy cloud-native apps on OpenShift and AWS, implement GenAI patterns, and contribute to CI/CD pipelines while collaborating with data engineers, ML practitioners, and stakeholders to

Formación

• Bachelor's degree in Computer Science, Engineering, or related field
• Proven experience building software products, backend systems, platform services, or cloud-native apps
• Strong command of Docker, Kubernetes/OpenShift, Python (FastAPI), Terraform, React, Node.js, and TypeScript
• Familiarity with AWS services (Lambda, API Gateway, ECS, RDS, Bedrock), Snowflake, PostgreSQL, Redis, and CI/CD tooling
• Experience with GenAI/LLM application patterns and AI-powered platforms
• Excellent written and spoken English, strong collaboration with cross-functional teams

Responsabilidades

• Build full-stack applications and platform services across the OneMesh ecosystem using React, TypeScript, Node.js and Python (FastAPI)
• Design and maintain robust APIs (REST and GraphQL)
• Implement AI and GenAI patterns including LLMs, RAG, and orchestration frameworks
• Deploy and operate cloud-native apps on OpenShift (Kubernetes) and AWS with GitOps and Terraform
• Champion production readiness and observability with security, logging, dashboards, and alerts
• Build and maintain CI/CD pipelines and participate in code reviews and architectural discussions
• Collaborate across data engineers, ML practitioners, product teams, and stakeholders to translate platform capabilities into user-friendly features

Conocimientos

Docker

Kubernetes/OpenShift

Python (FastAPI)

React

TypeScript

Node.js

Terraform

GitHub Actions

GenAI/LLM patterns

Cloud-native architectures

Educación

Bachelor's degree in Computer Science/Engineering or related

Herramientas

AWS services (Lambda, API Gateway, ECS, RDS, Bedrock)

Snowflake

PostgreSQL

Redis

CI/CD (GitHub Actions)

Descripción del empleo

Data and AI Software Engineer Specialist

Barcelona

Full time

R

Location: Barcelona, Spain

**About the Job** As Data and AI Software Engineer Specialist within our OneMesh Platform team, you'll build the software and application layer that connects people to the power of data and AI across Sanofi. Join Sanofi's Digital Data Team on our journey to become an AI-first organization. We're building the next generation of data and AI platform services - from internal developer tools and data platform interfaces to AI-powered applications and governance tooling. Working on a leading-edge tech stack with world-class mentorship, you'll contribute to products deployed globally that directly impact millions of lives. Our hybrid working model combines remote flexibility with collaborative office-based work, and our team culture is data-obsessed, impact-driven, and focused on delivering solutions that reach across the world with the best possible societal outcomes.

**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**

• Build full-stack applications and platform services across the OneMesh ecosystem using React, TypeScript, Node.js, and Python (FastAPI) - from data platform UIs and internal developer tools to AI-powered applications and operational dashboards
• Design and maintain robust APIs (REST and GraphQL) that enable internal teams to discover, manage, and interact with data and AI capabilities, integrating cleanly into broader Sanofi digital products
• Implement AI and GenAI application patterns including LLM APIs, Retrieval-Augmented Generation (RAG), agent orchestration, and evaluation frameworks, building reusable platform primitives that help other teams build faster and safer
• Deploy and operate cloud-native applications on OpenShift (Kubernetes) and AWS, following GitOps best practices and contributing to infrastructure-as-code using Terraform
• Champion production-readiness and observability by implementing security controls, audit logging, health checks, metrics dashboards, and alerting to ensure platform services are reliable, debuggable, and operationally sound
• Build and maintain CI/CD pipelines to enable fast, reliable, and automated delivery, while contributing to code reviews, architectural discussions, and engineering standards
• Collaborate across cross-functional teams - partnering with data engineers, ML practitioners, product teams, and business stakeholders to translate platform capabilities into polished, user-friendly features

**About you**

• Education: Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field
• Experience: Proven track record of building software products, backend systems, platform services, or cloud-native applications; experience in internal platform teams, product engineering, or data-driven application development is a strong plus
• Technical skills: Strong command of Docker, Kubernetes/OpenShift, Python (FastAPI), Terraform, React, Node.js, and TypeScript; familiarity with AWS services (Lambda, API Gateway, ECS, RDS, Bedrock), Snowflake, PostgreSQL, Redis, message brokering, CI/CD (GitHub Actions), and GenAI/LLM application patterns is a meaningful advantage
• Mindset: Versatile and adaptable, with a strong ownership mentality and service-oriented approach; comfortable working across multiple products simultaneously and thriving in ambiguous, fast-moving environments
• Collaboration: Excellent communicator in English who can translate complex technical concepts for non-technical stakeholders and enjoys working across diverse, cross-functional teams

**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.

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.

_Salary range: 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.