Job Description

About Sanofi:We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people\xe2\x80\x99s 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 that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives.Who You Are:
You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi\xe2\x80\x99s 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 AIJoin us on our journey in enabling Sanofi\xe2\x80\x99s 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 building 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 skillsetsThere are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates.Job Highlights:Propose and establish technical designs to meet business and technical requirementsDevelop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologiesCreate data pipelines / ETL pipelines and optimize performanceTest and validate developed solution to ensure it meets requirementsCoach other members of data engineering teams on workflows, technical topics, pipeline managementCreate design and development documentation based on standards for knowledge transfer, training, and maintenanceWork with business and products teams to understand requirements, and translate them into technical needsAdhere to and promote to best practices and standards for code management, automated testing, and deploymentsLeverage existing or create new standard data pipelines within Sanofi to bring value through business use casesDevelop automated tests for CI/CD pipelinesGather/organize large & complex data assets, and perform relevant analysisConduct peer reviews for quality, consistency, and rigor for production level solutionActively contribute to Data Engineering community and define leading practices and frameworksCommunicate results and findings in a clear, structured manner to stakeholdersRemains up to date on the company\xe2\x80\x99s standards, industry practices and emerging technologiesKey Functional Requirements & Qualifications:Experience working cross-functional teams to solve complex data architecture and engineering problemsDemonstrated ability to learn new data and software engineering technologies in short amount of timeGood understanding of agile/scrum development processes and conceptsAble to work in a fast-paced, constantly evolving environment and manage multiple prioritiesStrong technical analysis and problem-solving skills related to data and technology solutionsExcellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leadersPragmatic and capable of solving complex issues, with technical intuition and attention to detailService-oriented, flexible, and approachable team playerFluent in English (Other languages a plus)Key Technical Requirements & Qualifications:Bachelor\xe2\x80\x99s Degree or equivalent in Computer Science, Engineering, or relevant field10+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/DbtUnderstanding of data structures and algorithmsWorking knowledge of scripting languages (Python, Shell scripting)Experience in cloud-based data platforms (Snowflake is a plus)Experience with job scheduling and orchestration (Airflow is a plus)Good knowledge of SQL and relational databases technologies/conceptsExperience working with data models and query tuningNice to haves:Experience working in life sciences/pharmaceutical industry is a plusFamiliarity with data ingestion through batch, near real-time, and streaming environmentsFamiliarity with data warehouse concepts and architectures (data mesh a plus)Familiarity with Source Code Management Tools (GitHub a plus)Pursue progress, discover extraordinaryBetter is out there. Better medications, better outcomes, better science. But progress doesn\xe2\x80\x99t happen without people \xe2\x80\x93 people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let\xe2\x80\x99s 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 and check out our Diversity Equity and Inclusion actions at !

Sanofi