Accelerator Data & AI Engineer GenAI (Paris)
Sanofi · Paris, Île-de-France, France
- On site
- Full-time
- €80,000 / year
- Paris, Île-de-France, France
Job highlights
- Design and implement end-to-end data pipelines.
- Develop and optimize data models for performance.
- Collaborate with cross-functional teams on solutions.
- Enforce data quality, governance, and privacy.
- Build ETL and ML workflows for AI data.
About the role
Accelerator Data & AI Engineer GenAI
Sanofi is a global biopharmaceutical company focused on human health, dedicated to fighting pain and easing suffering through breakthrough science and advanced technology. Digital & Data are central to Sanofi's ambition to be a leading digital healthcare platform, accelerating drug development, improving treatments, and enhancing patient health.
We are building Digital R&D products that leverage Data Analytics and Artificial Intelligence to discover new drugs and improve clinical trial efficiency. This role is part of that innovation, focusing on Generative AI technologies.
About Sanofi
Sanofi is an R&D-driven, AI-powered biopharma company committed to improving lives and delivering growth. We leverage our deep understanding of the immune system and innovative pipeline to create medicines and vaccines that treat and protect millions worldwide. Join us as we chase the miracles of science to improve people’s lives.
Main Responsibilities
- Design and implement end-to-end data pipelines for transforming raw data into valuable insights, ensuring scalability and reliability in cloud environments.
- Develop and optimize data models for query performance and efficient workloads.
- Collaborate with cross-functional teams to translate business requirements into technical solutions, defining interface contracts between data products and applications.
- Enforce data quality, standardization, observability, and governance across systems, adhering to industry compliance and data privacy standards.
- Automate data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.
- Build and maintain ETL processes and machine learning workflows, providing clean AI-ready data for applications.
- Contribute to transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, and participate in peer reviews of code and technical documentation.
Key Skills/Competency
- Data Pipelines
- Data Modeling
- ETL/ELT
- Cloud Platforms (AWS)
- SQL
- Python
- Generative AI
- Data Quality
- CI/CD
- Data Governance
Skills & topics
- Data Engineer
- AI Engineer
- Generative AI
- Machine Learning
- Data Pipelines
- Cloud Computing
- AWS
- Python
- SQL
- Data Modeling
- ETL
- Snowflake
- Airflow
- dbt
- Vector Databases
- CI/CD
- GitHub Actions
- Git
- Terraform
- Paris
- Biopharmaceutical
- Digital Health
How to get hired
- Tailor your resume: Highlight your experience in data pipelines, cloud environments, and Generative AI, using keywords from the job description like SQL, Python, and AWS.
- Showcase your project experience: Quantify your achievements in designing and implementing data models, ETL processes, and ML workflows.
- Prepare for technical interviews: Be ready to discuss your experience with SQL, Python, cloud platforms (AWS), and Generative AI technologies like Vector Databases.
- Demonstrate problem-solving skills: Prepare examples of how you’ve collaborated with cross-functional teams and translated business needs into technical solutions.
- Understand Sanofi's mission: Research Sanofi's focus on R&D, AI, and digital transformation in biopharma.
Technical preparation
Master data pipeline and ETL/ELT concepts.,Practice SQL queries and data modeling techniques.,Build small projects using Python for data processing.,Familiarize yourself with Generative AI concepts.
Behavioral questions
Describe a complex data problem you solved.,How do you handle conflicting stakeholder requirements?,Share an instance of improving data quality.,How do you stay updated on AI advancements?
Frequently asked questions
- What are the key technical skills required for the Accelerator Data & AI Engineer GenAI role at Sanofi Paris?
- For the Accelerator Data & AI Engineer GenAI position at Sanofi Paris, strong proficiency in SQL and data warehousing platforms (Snowflake preferred), hands-on experience with ETL tools (IICS or equivalent) and Python for data processing, strong experience with cloud platforms (AWS preferred) including orchestration frameworks (Airflow preferred), and experience with Generative AI technologies and best practices (e.g., Vector Databases) are essential. Familiarity with CI/CD practices, version control (Git), and infrastructure as code is also highly valued.
- What is the work arrangement for the Data & AI Engineer GenAI position at Sanofi?
- The Data & AI Engineer GenAI position at Sanofi in Paris has a hybrid work arrangement, with approximately 60% of the time expected in the office and 40% remote. This role is permanent and full-time.
- What kind of data engineering best practices is Sanofi looking for in this role?
- Sanofi seeks candidates who can actively contribute to transversal data engineering best practices. This includes knowledge of design patterns, CI/CD integrations, containerized deployments, and participation in peer reviews of code and technical documentation. The role also emphasizes enforcing data quality, standardization, observability, and governance.
- What is the educational background expected for the Accelerator Data & AI Engineer GenAI job at Sanofi?
- Sanofi requires a Master's degree in Computer Science, Engineering, or a closely related field for the Accelerator Data & AI Engineer GenAI position.
- Does Sanofi prioritize Generative AI experience for this role?
- Yes, Generative AI is a key focus for this role. The job title explicitly mentions 'GenAI', and the responsibilities and technical skills sections highlight the need for strong experience with Generative AI technologies and best practices, such as Vector Databases.
- How does Sanofi use AI and Data in its R&D efforts?
- Sanofi integrates AI and Data at the core of its R&D, aiming to be a leading digital healthcare platform. This involves developing capabilities to discover new drugs, improve trial efficiency, and reduce cycle times by leveraging Data Analytics and Artificial Intelligence. The Digital R&D products are designed to work alongside scientists in these groundbreaking efforts.