About Mistral AI
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We are a dynamic team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.
Role Summary
We are seeking passionate and talented Data/Analytics Engineers to join our team. In this role, you will have the unique opportunity to build, optimize, and maintain our data infrastructure.
Responsibilities
- Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. Automate data quality checks and validation processes.
- Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions. Work closely with machine learning teams to support model training, deployment pipelines, and feature stores.
- Optimize data storage, retrieval, processing, and queries for performance, scalability, and cost-efficiency.
- Define and enforce data governance, metadata management, and data lineage standards.
- Ensure data integrity, security, and compliance with industry standards.
About You
- Master’s degree in Computer Science, Engineering, Statistics, or a related field.
- 3+ years of experience in data engineering, analytics engineering, or a related role.
- Proficiency in Python and SQL.
- Experience with dbt.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).
- Strong analytical and problem-solving skills, with attention to detail.
- Ability to communicate complex data concepts to both technical and non-technical stakeholders.
Nice to Have
- Experience with machine learning pipelines, MLOps, and feature engineering.
- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform).
- Background in building self-service data platforms for analytics and AI use cases.
Hiring Process
- Intro call with Recruiter – 30 min
- Hiring Manager Interview – 30 min
- Technical interview – Live Coding (Python/SQL) – 45 min
- Technical interview – System Design – 45 min
- Value talk interview – 30 mins
- References
What We Offer
- Competitive salary and equity package
- Health insurance
- Transportation allowance
- Sport allowance
- Meal vouchers
- Private pension plan
- Generous parental leave policy
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