Do you have a passion for building innovative data pipelines and transforming raw data into actionable insights? Are you an expert in programming languages like Spark, SQL, and Python, and thrive in a collaborative environment? If so, we want to hear from you!
About the role:
We are seeking a talented and experienced Analytics/Data Engineer to join our growing team. In this role, you will play a key part in designing, developing, and maintaining the data pipelines that power our organization's data-driven decision making. You will work closely with data scientists, analysts, and other engineers to ensure that our data infrastructure is reliable, scalable, and secure.
Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines using Spark, SQL, and Python
- Utilize Databricks platform to build and manage data processing workflows
- Clean, transform, and integrate data from various sources into a unified and consistent format
- Implement data quality checks and monitoring processes to ensure data accuracy and completeness
- Collaborate with data scientists and analysts to understand their data needs and develop solutions
- Document data pipelines and processes using clear and concise language
- Utilize Git for version control and maintain a clean and collaborative development environment
- Follow software development best practices, including unit testing, code reviews, and continuous
- integration/continuous delivery (CI/CD)
- Stay up to date with the latest advancements in data engineering technologies and best practices.
Basic Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Minimum 5 years of experience as a Data Engineer or similar role
- Strong proficiency in SQL, Python, and Spark
- Familiarity with Databricks platform
- Experience with data warehousing and data lakes (e.g., AWS Redshift, Snowflake) is a plus
- Experience with Git and software development best practices (unit testing, code reviews, CI/CD)
- Experience leveraging Gen AI tooling.
- Excellent communication and collaboration skills
- Ability to work independently and as part of a team
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Minimum 5 years of experience as a Data Engineer or in a similar role
- Strong proficiency in SQL, Python, and Spark
- Familiarity with Databricks
- Experience with data warehousing and data lakes, such as AWS Redshift or Snowflake
- Experience with Git and software development best practices, including unit testing, code reviews, and CI/CD
- Experience leveraging generative AI tooling
- Excellent communication and collaboration skills
- Ability to work independently and as part of a team
Stellantis Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Stellantis and has not been reviewed or approved by Stellantis.
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Healthcare Strength — Benefits are described as broad with strong medical, dental, and vision coverage, plus life insurance, disability, wellness resources, and employee assistance programs. Coverage breadth appears especially robust for full-time roles in North America.
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Retirement Support — Retirement savings are highlighted through 401(k) matching and company contributions in eligible roles, alongside attractive pension and retirement terms for many union-represented manufacturing employees. These elements are positioned as a core strength of the overall package.
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Equity Value & Accessibility — Employee share ownership is emphasized, with the share-purchase program expanded to nearly the entire workforce and broad participation reported. This accessibility creates an additional wealth-building channel beyond base pay.
Stellantis Insights
What We Do
Our storied and iconic brands embody the passion of their visionary founders and today’s customers in their innovative products and services: they include Abarth, Alfa Romeo, Chrysler, Citroën, Dodge, DS Automobiles, Fiat, Jeep®, Lancia, Maserati, Opel, Peugeot, Ram, Vauxhall and mobility brands Free2move and Leasys. Powered by our diversity, we lead the way the world moves – aspiring to become the greatest sustainable mobility tech company, not the biggest, while creating added value for all stakeholders as well as the communities in which we operate.
