Data & AnalyticsOn-site

Data Engineer, Senior

Mistral · On-site

Apply

Last seen by MeritLog September 8, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Mistral's Ashby job board and last checked it on September 8, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: Paris
Occupation: Database Architects(O*NET 15-1243.00)

Hiring context

How this role compares at Mistral

Mistral has 186 live roles in MeritLog’s catalog across 11 job families, and 33 of them are in data & analytics. 0 of those listings publish a pay range, a disclosure rate of 0%.

Mistral concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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.
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.

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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 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.

Keep exploring

More Data & Analytics roles

Search all jobs