Software Engineer, Data

Mistral; Paris; Sur place; EUR 65 000 - 85 000; Plein temps

Avantages offerts par ce poste

Competitive salary and equity package

Health insurance

Transportation allowance

Sport allowance

Meal vouchers

Private pension plan

Generous parental leave policy

Résumé du poste

Mistral in Paris is looking for skilled software engineers to develop and maintain data infrastructures. In this role, you will ensure accurate and secure data access, supporting both science and business teams.

The ideal candidate will have at least 5 years of experience in software engineering with strong data platform expertise. The role offers a competitive salary, health insurance, and flexible remote working options.

Qualifications

• Minimum 5 years of industry experience, including Software Engineering and strong data platform experience.
• Proficient in Python and SQL.
• Experience with big data technologies.

Responsabilités

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Implement efficient and secure backend architectures.
• Write clean and maintainable code, participate in code reviews.
• Collaborate with teams to understand data needs and deliver solutions.
• Ensure data integrity and optimize data queries.

Connaissances

Python

SQL

Big data technologies (e.g., Hadoop, Spark, Hive)

Data warehousing solutions (e.g., Redshift, BigQuery, Snowflake)

Real-time data processing platforms (e.g., Kafka, Flink)

Large-scale distributed systems

Problem-solving abilities

Communication skills

Description du poste

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. 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 https://mistral.ai/careers.

Role Summary

We are seeking passionate and skilled software engineers to join our team. In this role, you will 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

• Minimum 5 years of industry experience, including a 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.
• 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

The position is based in our Paris HQ offices 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. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours.

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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