Data Engineer, Senior

Mistral
Paris
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsSkills: ["Analytical thinking","Problem-solving","Attention to detail","Communication"]

Build and maintain scalable data pipelines, ETL processes, and analytics infrastructure that help product teams access secure, reliable data quickly. Partner with machine learning teams to support model training, deployment pipelines, and feature stores, while optimizing storage, retrieval, processing, and query performance for cost-efficiency. Define data governance, metadata management, and lineage standards, ensuring data integrity, security, and compliance.

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FursaFursa
Mistral
Mistral
1 month ago

Data Engineer, Senior

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Build and maintain scalable data pipelines, ETL processes, and analytics infrastructure that help product teams access secure, reliable data quickly. Partner with machine learning teams to support model training, deployment pipelines, and feature stores, while optimizing storage, retrieval, processing, and query performance for cost-efficiency. Define data governance, metadata management, and lineage standards, ensuring data integrity, security, and compliance.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain scalable data pipelines, ETL processes, and analytics infrastructure, including automated data quality checks and validation.
  • •Collaborate with cross-functional teams to understand data needs and deliver actionable solutions, including support for ML 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.

Key Requirements

  • •Proficiency in Python and SQL.
  • •10+ years of experience in a Data Engineering role.
  • •Experience with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing (e.g., Snowflake, BigQuery, Redshift, Clickhouse).
  • •Experience with dbt.
  • •Strong analytical and problem-solving skills with attention to detail.
Experience:10+ yearsData engineeringAIMachine learning
Skills:Analytical thinkingProblem-solvingAttention to detailCommunication
Tech Stack:PythonSQLAWSGCPAzureSnowflakeBigQueryRedshiftClickhouseDbt

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn