
R&D Data Engineer
Hyderabad, Indien Permanent Gepostet am May. 09, 2025 Endet am May. 17, 2025Position Title: R&D Data Engineer
About the Job
At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as an 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.
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 Sanofi’s 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 people’s lives. We’re 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 modeling 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 of innovation, collaboration, and continuous learning within the product team
About You:
Key Functional Requirements & Qualifications:
Bachelor’s 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)
Deep understanding and proven track record of developing data pipelines and workflows
Why Choose Us?
Bring the miracles of science to life alongside a supportive, future-focused team
Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs
PursueProgress. Discover Extraordinary.
Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s 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, or gender identity.
Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!
nullDiversity und Inklusion sind in den Grundwerten von Sanofi verankert und spiegeln sich in unserer Arbeitsweise wider. Wir respektieren die Vielfalt unserer Belegschaft in Hinsicht auf ihre Herkunft, Erfahrungen und Lebensweisen. Wir erkennen die Bereicherung, die diese Vielfalt birgt, und fördern Inklusion sowie eine Arbeitsumgebung, in der diese Unterschiede sich weiter entwickeln können, zur Stärkung des Lebens unserer Mitarbeiter, Patienten und Kunden.
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