Software Engineer, Data

About Mistral 

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 democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.

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 France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.

Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on 

Role Summary 

We are seeking passionate and skilled software engineers to join our team. In this role, you will have the unique opportunity to design, build, and maintain our data infrastructure, ensuring that our data is accurate, accessible, and secure. You will work with large volumes of data, enabling both science and business 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

Product Development: design, develop, and maintain scalable data pipelines and ETL processes.

System Architecture: design and implement efficient, secure, and scalable backend architectures that support our product goals.

Code Quality: write clean, maintainable, and well-documented code, and participate in code reviews to uphold our high standards of quality.

Collaboration: 

• Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.

• Support our AI scientists to help them access data to improve our Large language models accuracy and performance.

• Contribute to the development of data governance policies and procedures.

Problem-Solving: 

• Ensure data integrity, quality, and security across all data platforms.

• Develop and implement data warehousing and data lake solutions.

• Optimize data queries and improve data processing performance. Monitor and troubleshoot data-related issues and incidents.

About you

• Relevant professional work experience as a Software Engineer with a strong focus on Data engineering work

• Proficient in Python, SQL, and experience with big data technologies (e.g., Hadoop, Spark, Hive).

• Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).

• Experience with real-time data processing and streaming platforms (e.g., Kafka, Flink).

• Experience with large-scale distributed systems.

• Knowledge of databases, caching mechanisms, and messaging systems.

• Strong problem-solving abilities and attention to detail.

• Ownership and capacity to ship products end-to-end.

• Excellent communication skills.

• Low ego and team spirit mindset.

• Autonomous and a self-starter.

Hiring Process

• Introduction call - 45 min

• Hiring Manager interview - 30 min

• Live-coding interview (Python/SQL) - 45 min

• System Design interview - 45 min

• Culture-fit discussion - 30 min

• Reference checks

Location & Remote

This role is based in one of our European offices (Paris, France and London, UK). We will only consider candidates who either reside or are open to relocating there. We strongly believe in the value of in-person collaboration and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity.

What we offer

Competitive salary and equity (stock-options)

Health insurance

Transportation allowance

Sport allowance

Meal vouchers

Private pension plan

Generous parental leave policy

Visa sponsorship