Senior Data Engineer: Build Snowflake Pipelines

Peugeot Sport (Stellantis Motorsport); Poissy; On-site; EUR 70,000 - 95,000; Full time

Job summary

Peugeot Sport (Stellantis Motorsport) in Île-de-France seeks a Data Engineer to design, develop and maintain robust data pipelines enabling data-driven decisions across the organization. You will build scalable data models with Snowflake and DBT, ensuring reliable data delivery and implementing quality checks.

You will collaborate with Data & AI teams, own end-to-end data workflows and contribute to improving data engineering standards within a global automotive leader.

Qualifications

• Degree in Engineering, Computer Science or related field
• 5+ years of experience in Data Engineering or similar roles
• Strong programming skills in Python and SQL
• Experience with Snowflake and a solid understanding of DBT

Responsibilities

• Design, build, maintain and optimize data pipelines from multiple sources into clean, structured formats
• Develop scalable data models and transformations using Snowflake and DBT
• Ensure data is stored, processed and delivered reliably and efficiently
• Implement data quality checks to guarantee data accuracy and integrity
• Collaborate with Data & AI teams to support analytics initiatives
• Contribute to continuous improvement of data engineering standards, tools and processes

Skills

Python

SQL

Data pipelines

Data modelling

Education

Master's degree in Engineering/CS

PhD preferred

Tools

Snowflake

DBT

Git

Airflow

Job description

Peugeot Sport (Stellantis Motorsport) in Île-de-France seeks a Data Engineer to design, develop and maintain robust data pipelines enabling data-driven decisions across the organization. You will build scalable data models with Snowflake and DBT, ensuring reliable data delivery and implementing quality checks.

You will collaborate with Data & AI teams, own end-to-end data workflows and contribute to improving data engineering standards within a global automotive leader.