Data Engineer

Peugeot
Poissy, France
24 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Artificial Intelligence Airflow Data Analysis Computer Programming Continuous Integration Information Engineering Data Transformation DevOps Python (Programming Language) SQL Databases Workflow Management Systems Snowflake
+4 more
Git Information Technology Data Management Data Pipelines

Job description

We are looking for a Data Engineer to design, develop and maintain robust data pipelines that enable data-driven decision-making across the organization. In this role, you will work in a global and complex environment, supporting key business domains such as Global Supply Chain. You will collaborate closely with Data Scientists, AI specialists and business teams to ensure reliable, scalable and high-quality data delivery., * 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., * 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.

Requirements

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., English (Fluent (3,5 - 4,4 Bright))

About the company

Joining us means joining a global company. Driven by the constant search for innovation and excellence, a pioneer and leader in clean technologies and sustainable mobility, the Group intends to remain at the forefront of the major trends that are moving the world.

With its efficiency, agility and team spirit, the Group is demanding and bold in defining the mobility of tomorrow.

To succeed in these transformations, the company needs all the talents. Join us!

At Stellantis, we evaluate candidates according to their qualifications, their merits and the needs of the profession. We welcome applications from people of all gender, age, ethnicity, nationality, religion, sexual orientation, and disability. The diversity of our teams will allow us to better understand the evolving needs of our customers and our future environment.

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