• Location: Budapest – Sanofi Business Services, Váci Greens

About the job

In this role you will develop globally scalable solutions that are needed by Sanofi’s Digital R&D Data products, empowering AI and ML initiatives to generate value across the R&D Value Chain, specifically:

• Participate in business research, including surveys, workshops, and leading user interviews, to support the product owner in exploring new opportunities
• Collaborate with stakeholders to identify opportunities for solution improvements
• Work with product owners, solution architects, technical leads, and other developers for user story framing/grooming, solution design, and alignment
• Decompose user stories into tasks, estimate story points, and ensure timely updates in Jira
• Create and optimize prototypes, aligning with business and digital stakeholders
• Write required documentation and follow the validation process with QA/quality experts
• Support QA during SIT/UAT phases, escalating issues, risks, and identifying decisions needed
• Design, code, test, debug, and maintain digital applications according to requirements
• Assist in the deployment of applications to production environment and provide technical support during and after the release phase
• Contribute to the entire application lifecycle, with a focus on coding and debugging
• Ensure software meets all requirements of quality, security, extensibility, etc.
• Conduct peer reviews for quality, consistency, and rigor for production level solution
• Actively contribute to Digital Software Engineering community and define leading practices and frameworks
• Remain up to date on the company’s standards, industry practices and emerging technologies

About you  

Experience

• 5 + year of experience in software engineering
• Experience with web design and development, familiar with key languages & tools (Python, Java, javascript, HTML, IICS, Snowflake, MongoDB, Graph DB (neo4j), Flask, React JS, Node JS, Typescript, GraphQL, Github, Spring Boot, Maven, CI/CD, Argo CD, Docker, Kubernetes)
• Understanding of data structures and algorithms
• Practical understanding of software development principles and lifecycle, web development technologies / frameworks, APIs, and common web technologies essential to building seamless multi-channel experiences
• Working knowledge of scripting languages (Python, SQL, Shell scripting)
• Experience in cloud-based data platforms (Snowflake is a plus)
• Good knowledge of SQL and relational databases technologies/concepts
• Experience working cross-functional teams to solve complex data architecture and engineering problems
• Demonstrated ability to learn new data and software engineering technologies in short amount of time
• Experience working in cloud-based platforms (AWS, Snowflake, etc.)

Education

Soft skills

• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
• Strong technical analysis and problem-solving skills related to data and technology solutions
• Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders
• Pragmatic and capable of solving complex issues, with technical intuition and attention to detail
• Service-oriented, flexible, and approachable team player

Language

• Fluent in English

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