NEW - Software Engineer, Data
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NEW - Software Engineer, Data
Location
Paris
Experience
Mid
Posted
Jul 10, 2026
Apply by
August 9, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Office
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 **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.
**What We're Looking For**
• **Software Engineering** background and a strong **data engineering/data platform** experience
• 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.
**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
## **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](https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link).
## **Privacy Policy**
Your privacy matters to us. You can learn more about how we handle your personal data in our [Applicant Privacy Policy](https://legal.mistral.ai/terms/applicant-privacy-policy).
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes.
- Design and implement efficient, secure, and scalable backend architectures.
- Write clean, maintainable, and well-documented code and participate in code reviews.
- Collaborate with data scientists and analysts to understand data needs and deliver solutions.
- Support AI scientists in accessing data to improve Large language models' accuracy.
- Contribute to the development of data governance policies and procedures.
- 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.
Skills Required
PythonSQLHadoopSparkHiveRedshiftBigQuerySnowflakeKafkaFlinkData warehousingData lakeDistributed systemsDatabasesCaching mechanismsMessaging systemsProblem-solvingAttention to detailOwnershipCollaboration
Benefits
- Healthcare coverage
- Parental leave
- Retirement plans
- Relocation support
- Wellness programs
- Meal allowances
- Transportation allowances
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