Data Engineer, Senior

Mistral.ai; Paris; Sur place; EUR 90 000 - 140 000; Plein temps

Avantages offerts par ce poste

Healthcare coverage

Retirement plans

Relocation support

Wellness program

Meal allowance

Transportation allowance

Résumé du poste

Mistral.ai is seeking a Senior Data Engineer to join our team. You will build, optimize, and maintain our data infrastructure, handling large volumes of data so product teams access secure, reliable data quickly.

You will design scalable pipelines, implement back-end architectures, and collaborate with machine learning teams to support training, deployments, and feature stores. The role emphasizes data governance, quality checks, security, and compliant data handling across our cloud platforms

Qualifications

• 10+ years of experience in a Data Engineering role.
• Proficiency in Python and SQL.
• Experience with cloud platforms (AWS, GCP, Azure).
• Experience with data warehousing solutions (Snowflake, BigQuery, Redshift, ClickHouse).
• Experience with dbt.

Responsabilités

• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. Automate data quality checks and validation processes.
• System Architecture: design and implement efficient, secure, and scalable backend architectures that support our product goals.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions, e.g. work with ML 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.

Connaissances

Python

SQL

Cloud platforms

dbt

Data warehousing

Communication

Outils

Snowflake

BigQuery

Redshift

ClickHouse

Description du poste

About Mistral

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms.

We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.

The Role

We are seeking one passionate and talented Senior Data Engineer to join our team.

In this role, you will have the unique opportunity to build, optimize, and maintain our data infrastructure. You will work with large volumes of data, enabling product teams to access secure and reliable data quickly. Your contributions will support our science team in enhancing the quality of our state-of-the-art AI models and help business users make informed decisions.

What You Will Do

• Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure. Automate data quality checks and validation processes.
• System Architecture: design and implement efficient, secure, and scalable backend architectures that support our product goals.
• Collaborate with cross-functional teams to understand data needs and deliver high-quality, actionable solutions, eg 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.

What We're Looking For

• Proficiency in Python and SQL.
• 10+ years of experience in a Data Engineering role.
• Software Engineering experience is highly valued.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Clickhouse).
• Experience with dbt.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to communicate complex data concepts to both technical and non-technical stakeholders.

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

We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.

For the most up-to-date details on benefits available in your location, please refer to our Benefits page.

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