Senior Data Engineer
Paris-based AI company building frontier models, AI applications, developer tools, and compute infrastructure for enterprise and public-sector deployments.
About Mistral AI
Mistral AI develops open-weight and commercial language models and provides a full-stack AI platform spanning agents, application development, custom-model training, APIs, and AI cloud infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. You will automate data-quality validation, implement secure backend architectures, support machine-learning workflows, optimize storage and queries, and enforce data governance, lineage, integrity, security, and compliance standards.
Requirements
- Proficiency in Python and SQL
- 10+ years of Data Engineering experience
- Software Engineering experience
- Experience with AWS, GCP, Azure, Snowflake, BigQuery, Redshift, or ClickHouse
- Experience with dbt
- Analytical and problem-solving skills
- Ability to communicate data concepts to technical and non-technical stakeholders
Responsibilities
- Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure
- Automate data-quality checks and validation processes
- Design and implement secure, scalable backend architectures
- Collaborate with cross-functional teams to deliver data solutions
- Support model training, deployment pipelines, and feature stores
- Optimize data storage, retrieval, processing, and queries
- Define and enforce data governance, metadata management, and data lineage standards
- Ensure data integrity, security, and compliance
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
- Location-specific perks
Hiring Process
Introductory recruiter call; hiring manager interview; live Python/SQL coding interview; system design interview; value talk interview; references.