R&D Data Engineering Expert

About the Job

R&D Data Engineer

and you can help make it happen.

What you will be doing:

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities.

R&D Data Engineer

Main Responsibilities:

Data Product Engineering:

• Provide input into the engineering feasibility of developing specific R&D Data/AI Products
• Provide input to Data/AI Product Owner and Scrum Master to support with planning, capacity, and resource estimates
• Design, build, and maintain scalable and reusable ETL / ELT pipelines to ingest, transform, clean, and load data from sources into central platforms / repositories
• Structure and provision data to support modelling and data discovery, including filtering, tagging, joining, parsing and normalizing data
• Collaborate with Data/AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans
• Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories
• Optimize data workflows to drive high performance and reliability of implemented data products
• Oversee and support junior engineer with Data/AI Product testing requirements and execution

Innovation & Team Collaboration:

• Stay current on industry trends, emerging technologies, and best practices in data product engineering
• Contribute to a team culture of innovation, collaboration, and continuous learning within the product team

About You:

Key Functional Requirements & Qualifications:

• Bachelors degree in software engineering or related field, or equivalent work experience
• 3-5 years of experience in data product engineering, software engineering, or other related field
• Understanding of R&D business and data environment preferred
• Excellent communication and collaboration skills
• Working knowledge and comfort working with Agile methodologies

Key Technical Requirements & Qualifications:

• Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica(IICS), Terraform, DBT, and Airflow)
• Deep understanding and proven track record of developing data pipelines and workflows