Data Engineer

About the job:

We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.  

Sanofi’s Digital Data organization’s mission is to transform Sanofi into a data-first and AI first organization by empowering everyone with good data. Through custom developed products built on world class data foundations and platforms, the team builds value and a unique competitive advantage that scales across our markets, R&D and manufacturing sites. The team is located in major hubs in Paris, Lyon, Barcelona, Cambridge, Bridgewater, Toronto, Hyderabad. Join a dynamic, fast paced and talented team, with world class mentorship, using AI to chase the miracle of science.

About Growing with us

In this role you will develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. Specifically,

• Propose and establish technical designs to meet business and technical requirements

• Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies

• Create data pipelines / ETL pipelines and optimize performance

• Test and validate developed solution to ensure it meets requirements 

• Create design and development documentation based on standards for knowledge transfer, training, and maintenance

• Work with business and products teams to understand requirements, and translate them into technical needs 

• Adhere to and promote to best practices and standards for code management, automated testing, and deployments

• Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases  

• Develop automated tests for CI/CD pipelines

• Conduct peer reviews for quality, consistency, and rigor for production level solution 

• Actively contribute to Data Engineering community and define leading practices and frameworks 

• Remains up to date on the company’s standards, industry practices and emerging technologies 

About you 

Key Functional Requirements & Qualifications:

• 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

• Good understanding of agile/scrum development processes and concepts

• 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 

• Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications:

• Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 

• Experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools (DBT, Informatica/IICS a plus)

• Understanding of data structures and algorithms

• Working knowledge of scripting languages (Python, Shell scripting)

• Experience in cloud-based data platforms (Snowflake)

• Experience with job scheduling and orchestration (Airflow is a plus)

• Good knowledge of SQL and relational databases technologies/concepts

• Experience working with Source Code Management Tools (Github is a plus)

Nice to haves:

• Experience working in life sciences/pharmaceutical industry is a plus

• Familiarity with data ingestion through batch, near real-time, and streaming environments

• Familiarity with data warehouse concepts and architectures (data mesh a plus)

• Familiarity with AWS Lambda, Terraform

When joining our team, you will experience:

• An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team

• An attractive, market-oriented salary and cafeteria benefits

• Collective life and accident insurance

• Exposure to training and certification pathways for technical and functional skills from AWS, Snowflake and others

• An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks

• Your own career path within Sanofi. Your professional and personal development will be supported purposefully

• Join a great community & special events (Monthly Board Game Nights, Summer Events, Well-Being Lectures & Sport Clubs)

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, disability, or gender identity 

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.