Job title: Data Engineer

• Location: Barcelona, Spain

About the job

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?

Join our Digital Team as Data Engineer and you can help make it happen. Our mission is to enable Sanofi’s Digital Transformation through becoming an AI first organization. Your job? 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, led 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.

Main responsibilities:

• 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
• 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
 

• Experience: 5+ years of experience in data engineering, software engineering, or other related fields
• Soft skills: Excellent communication and collaboration skills
• Technical skills: Experience in cloud-based data platforms and analytics engineering stack (AWS, Snowflake and DBT), experience with job scheduling and orchestration (Airflow is a plus), working knowledge of scripting languages (Python, Shell scripting), good knowledge of SQL and relational databases technologies/concepts, strong experience with DevOps technologies like GitHub, GitHub Actions and Terraform, understanding of data structures and algorithms, experience working with data models
• Education: Bachelor’s degree in software engineering or related field, or equivalent work experience
• Languages: Excellent English communication and writing

#LI-Hybrid #BarcelonaHub #SanofiHubs

Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But 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. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

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.