Accelerator Data & AI Engineering Lead (Paris)
- Location: Paris
- Hybrid: M-W onsite
- Automate and optimize AI-driven workflows across Sanofi, including procurement and support
- Enable seamless deployment of GenAI and agentic systems through robust, scalable data pipelines and system integrations architectures
- Lead the design, implementation, and delivery of data pipelines, datamarts and AI workflows, ensuring scalability, resilience, and compliance with Sanofi's standards
- Work closely with business and product stakeholders within the AI Workflow domain to understand requirements and translate them into technical architectures and deliverables
- Collaborate with Data Architects and Software Engineers to design, build, and maintain datamarts, models, and integrations in Snowflake, leveraging DBT, Airflow, and Python for automation and orchestration
- Define, enforce, and continuously improve DataOps and MLOps practices, including CI/CD with GitHub Actions and infrastructure management using Terraform on AWS
- Provide technical leadership, mentorship, and guidance to a small team of engineers, fostering a culture of accountability and technical excellence
- Ensure high data quality and observability through automated testing, validation, and monitoring processes
- Collaborate with AI Workflow teams to integrate GenAI, RAGs, and Agentic AI components into production workflows
- Stay current with Sanofi standards, industry practices, and emerging technologies, ensuring the AI Workflow ecosystem remains at the forefront of innovation
- Strong experience leading end-to-end data engineering projects from design to production deployment
- Proven experience with Snowflake, Airflow, DBT, Python, AWS, Terraform, and GitHub Actions
- Good knowledge of SQL and relational databases technologies/concepts
- Proven ability to define and enforce data and MLOps standards (CI/CD, observability, lineage, reproducibility)
- Experience in building and maintaining data pipelines, datamarts, and data models at enterprise scale
- Practical understanding of GenAI, Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI integration
- Strong collaboration with cross-functional teams - Product, Data Architecture, and AI Engineering
- Ability to work within regulated environments (data privacy, compliance, cybersecurity) is a plus
- Excellent written and verbal English communication skills
- Strong leadership and mentorship skills, with the ability to inspire and elevate junior engineers
- Excellent communication, both written and verbal, able to translate technical concepts for diverse stakeholders
- Service-oriented mindset and collaborative spirit
- Self-motivated, proactive, and able to drive initiatives independently
- Analytical and structured problem-solver with a delivery focus
- 6-8 years of experiences in a data team as Data Engineer
- Bachelor's Degree or equivalent in Computer Science, Engineering, or relevant field
- Experience in the healthcare industry is a strong plus
- Bring the miracles of science to life alongside a supportive, future-focused team
- Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally
- Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
- Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave
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