Data Engineer

Peugeot Sport (Stellantis Motorsport); Poissy; Sur place; EUR 70 000 - 95 000; Plein temps

Résumé du poste

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

Responsabilités

• 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

Connaissances

Python

SQL

Data pipelines

Data modelling

Formation

Master's degree in Engineering/CS

PhD preferred

Outils

Snowflake

DBT

Git

Airflow

Description du poste

About The Role

We are looking for a Data Engineer to design, develop and maintain robust data pipelines that enable data‑driven decision‑making across the organization.

About The Role

We are looking for a Data Engineer to design, develop and maintain robust data pipelines that enable data‑driven decision‑making across the organization.

What You Will Do

As a Data Engineer, you will:

• Design, build, maintain and optimize data pipelines that collect, process and transform data from multiple sources into clean and structured formats.
• Develop scalable and production ready data models and transformations using Snowflake and DBT.
• Ensure data is stored, processed and delivered in a reliable, consistent and efficient manner.
• Implement data quality checks and validation processes to guarantee data accuracy and integrity.
• Collaborate with Data & AI teams to support analytics and advanced data initiatives.
• Contribute to the continuous improvement of data engineering standards, tools and processes.

Profile

You are a proactive and analytical professional who enjoys working with data and technology in a collaborative environment. You bring:

• Strong ability to work independently and take ownership of your tasks.
• A collaborative mindset and confidence working within a team based environment.
• The ability to communicate and explain technical topics to non technical stakeholders when needed.
• Strong programming skills in Python and SQL.
• Experience with Snowflake and a solid understanding of DBT.
• Basic knowledge of DevOps and orchestration tools (e.g. Git, CI/CD, Airflow).
• Experience designing and managing data pipelines in enterprise environments.
• Degree in Engineering, Computer Science or Computer Programming (Master's or PhD preferred).
• 5+ years of experience in Data Engineering or similar roles.

WHY JOIN STELLANTIS

• Be part of a global automotive leader driving digital and data transformation.
• Work on large scale, business critical data platforms.
• Collaborate with international teams in a dynamic and innovative environment.
• Grow your technical expertise while contributing to impactful, real world use cases.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.