About Sanofi:
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve peoples 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 Sanofis 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 Sanofis Digital Transformation through becoming an AI first organization. This means:

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  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.
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  Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack.
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  World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets

There 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:

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  Propose and establish technical designs to meet business and technical requirements
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  Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies
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  Create data pipelines / ETL pipelines and optimize performance
  Test and validate developed solution to ensure it meets requirements
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  Coach other members of data engineering teams on workflows, technical topics, pipeline management
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  Create design and development documentation based on standards for knowledge transfer, training, and maintenance
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  Work with business and products teams to understand requirements, and translate them into technical needs
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  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
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  Develop automated tests for CI/CD pipelines
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  Gather/organize large & complex data assets, and perform relevant analysis
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  Conduct peer reviews for quality, consistency, and rigor for production level solution
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  Actively contribute to Data Engineering community and define leading practices and frameworks
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  Communicate results and findings in a clear, structured manner to stakeholders
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  Remains up to date on the companys standards, industry practices and emerging technologies

Key Functional Requirements & Qualifications:

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  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
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  Good understanding of agile/scrum development processes and concepts
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  Able to work in a fast-paced, constantly evolving environment and manage multiple priorities
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  Strong technical analysis and problem-solving skills related to data and technology solutions
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  Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders
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  Pragmatic and capable of solving complex issues, with technical intuition and attention to detail
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  Service-oriented, flexible, and approachable team player
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  Fluent in English (Other languages a plus)

Key Technical Requirements & Qualifications:

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  Bachelors Degree or equivalent in Computer Science, Engineering, or relevant field
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  8+ 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/Dbt
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  Understanding of data structures and algorithms
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  Working knowledge of scripting languages (Python, Shell scripting)
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  Experience in cloud-based data platforms (Snowflake is a plus)
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  Experience with job scheduling and orchestration (Airflow is a plus)
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  Good knowledge of SQL and relational databases technologies/concepts
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  Experience working with data models and query tuning

Nice to haves:

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  Experience working in life sciences/pharmaceutical industry is a plus
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  Familiarity with data ingestion through batch, near real-time, and streaming environments
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  Familiarity with data warehouse concepts and architectures (data mesh a plus)
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  Familiarity with Source Code Management Tools (GitHub a plus)