Data and AI Engineer
About The Position
Ready to push the limits of what’s possible? Join Sanofi in one of our corporate functions and you can play a vital part in the performance of our entire business while helping to make an impact on millions around the world. 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 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. Who You Are: You are a dynamic junior Data Engineer interested in challenging the status quo to ensure the seamless creation and operation of the data pipelines that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. 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 renowned leaders and academics in machine learning to further develop your skillsets
Requirements
- Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field with 1 or 2 years of experience
- Good knowledge of SQL and relational databases technologies/concepts
- Familiarity working with data models and query tuning
- Experience working with a variety of cross-functional teams
- Good understanding of agile/scrum development processes and concepts
- Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
- Pragmatic and capable of solving complex issues
- Service-oriented, flexible team player
- Attention to detail & technical intuition
- Excellent written, verbal, and interpersonal skills for executive level communication and collaboration
- Fluent in English (Other languages a plus)
Nice To Haves
- Familiarity in Data warehousing solutions (Snowflake a plus)
- Familiarity in Integration Services (Informatica IICS, DBT a plus)
- Familiarity with CI/CD pipelines
- Working knowledge of scripting languages (Python, R a plus)
- Familiarity with Source Code Management Tools (GitHub a plus)
- Familiarity with Visualization Tools (PowerBI, Tableau a plus)
- Familiarity with Project Management Tools (JIRA, Confluence a plus)
- Familiarity with Service Management Tools (Service Now a plus)
- Experience working in life sciences/pharmaceutical industry is a plus
Responsibilities
- Work with business teams to understand requirements, and translate them into technical needs
- Gather/organize large & complex data assets, and perform relevant analysis
- Ensure the quality of the data in coordination with Data Analysts and Data Scientists (peer validation)
- Propose and implement relevant data models for each business case
- Create data models and optimize queries performance
- Communicate results and findings in a structured way
- Partner with Product Owner and Data Analysts to prioritize the pipeline implementation plan
- Partner with Data Analysts and Data scientists to design pipelines relevant for business requirements
- Leverage existing or create new “standard data pipelines” within Sanofi to bring value through business use cases
- Ensure best practices in data manipulation are enforced end-to-end
- Actively contribute to Data governance community
- Remains up to date on company’s standards, industry practices and emerging technologies
Benefits
- high-quality healthcare
- prevention and wellness programs
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
