Data Engineer, Senior at Mistral (Paris, France)

Mistral· Paris, France·4d ago

Role details

Work type

Onsite

Employment

Full-Time

Mistral at a glance

A French AI lab building open and frontier-grade large language models, with the full developer and enterprise stack around them.

Mistral is a French AI lab that builds open and frontier-grade large language models and sells the full stack around them: developer tooling, an agent studio, consumer and enterprise apps like Le Chat and Vibe, custom model training, and its own GPU compute. Its edge is deployment control, with open weights, EU hosting, and self-hosting for regulated and sovereign buyers.

$3B+ raised · latest: Series C · 1.7B euros · Sept 2025 · backed by ASML, Nvidia, Andreessen Horowitz, DST Global

Job description

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 app.notion.com

PRIVACY POLICY

Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy legal.mistral.ai

Why work at Mistral

Culture: Flat structure, high ownership, low ego, and a "builders, not order takers" mentality. The company values audacity, speed, rigor, and customer centricity.
Remote/Hybrid/Office: Based in Paris (15 rue des Halles); relocation support and visa sponsorship offered. Specific remote/hybrid policy not detailed, but global team suggests flexibility.
Notable perks and benefits (from careers page):
- 20 weeks paid parental leave for all birthing parents.
- 100% employer-sponsored medical, dental, and vision coverage for employees and dependents.
- 6% 401k match (US) / 5% pension contribution (UK).
- Childcare support (reserved daycare seats or financial assistance).
- Meal allowances and transportation support.
- Fitness and wellness subsidies.
- Relocation and settling-in services.
- Financial and career planning support.
Team composition: 900+ employees from 30+ nationalities; 50% female leaders.
Interview process: For science, product, and engineering roles: intro conversation → 2-5 technical exercises → 1-3 interviews (hiring manager + teammates) → values conversation → reference checks.

About Mistral

Company Overview

One-liner: Mistral is a French AI company building open, frontier-grade large language models, developer platforms, and applied AI solutions for enterprises and governments.
Entity Type: Private (Series C)
Headquarters: Paris, France (15 rue des Halles)
Founded: April 2023
Founders: Arthur Mensch (CEO), Guillaume Lample (Chief Science Officer), Timothée Lacroix (CTO)

Core Business

Primary industry/industries: Artificial Intelligence, Large Language Models, Enterprise AI Software
Target customers: B2B, Enterprise, Government, and Developers (B2D)
Mission or purpose statement: "To make frontier AI open to all, and together solve the world's hardest problems."

Products & Services

Mistral Large: Frontier-grade large language model for complex reasoning and enterprise tasks.
Mistral Small 3: Efficient, lightweight model for cost-sensitive deployments.
Mistral Code / Vibe: AI agent for long-horizon, autonomous software development and task completion.
Le Chat: Consumer-facing AI assistant and chatbot.
Mistral OCR 4: State-of-the-art document intelligence model for extracting and understanding text from images and PDFs.
Mistral Forge: Custom model development service for training, aligning, and evaluating proprietary AI models on private data.
Mistral Studio: Platform for building, testing, and running AI agents and applications with full control.
Mistral Compute: Infrastructure and orchestration platform for frontier-scale training and inference (edge to cloud).
Mistral Search Toolkit: Tools for integrating search and retrieval into AI applications.
Voxtral: Voice AI model for speech-based interactions.

Market Standing

Valuation/Market Cap: $4.016 billion (latest reported valuation, per CB Insights; date not specified but likely post-Series C)
Key Metric: Total funding raised across Seed, Series A, Series B, and Series C rounds (specific amounts not disclosed in search results).
Notable Investors/Partners: Not explicitly named in search results, but the company partners with organizations in finance, manufacturing, defense, energy, and the public sector.
Growth Signals:
- Rapid scaling: 900+ employees across 30+ nationalities as of mid-2026.
- 50% of leadership roles held by women.
- Key product launches on a near-monthly cadence (e.g., Mistral OCR, Forge, Vibe, Compute, Search Toolkit, Voxtral).
- Strong presence in high-stakes, regulated industries (defense, energy, public sector).

Competitive Advantages

Open-source DNA: Commitment to openness, transparency, and cost efficiency differentiates Mistral from closed, Big Tech AI labs.
Full-stack ownership: Controls the entire stack from frontier models to developer tools, applications, and compute infrastructure, enabling deep customization and reliability.
European leadership: Positioned as a sovereign, European AI champion, appealing to governments and enterprises seeking data control and regulatory compliance.
Speed and rigor: Culture of rapid experimentation, iteration, and data-driven decision-making.

Strategic Focus

Enterprise and government partnerships: Co-creating tailored AI systems for mission-critical use cases in finance, manufacturing, defense, energy, and public sector.
Open platform ecosystem: Expanding Mistral Studio and Forge to enable customers to build custom models and agents on their own data.
Infrastructure as a product: Commercializing Mistral Compute to become a platform for others to train and run AI workloads.
Continuous model innovation: Releasing new frontier models and capabilities (OCR, voice, code agents) at a rapid pace.

Sources