R&D Data Engineering Expert

As an R&D Data Engineer, you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as a part of a Data & AI Product Delivery Pod, lead by a Product Owner, in an agile environment to deliver Data & AI Products.

As a part of this team, you will be responsible for the design and development of data pipelines and workflows to ingest, curate, process, and store large volumes of complex structured and unstructured data. You will have the ability to work on multiple data products serving multiple areas of the business.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofis Digital Transformation through becoming an AI first organization. This means:

• AI Factory - Versatile Teams Operating in Cross Functional Pods:Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.
• Leading Edge Tech Stack:Experience build products that will be deployed globally on a leading-edge tech stack.
• World Class Mentorship and Training:Working with renown leaders and academics in machine learning to further develop your skillsets.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve peoples lives. Were also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

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