ICT Data Engineer

Job ID: 2019640

Career Area: ICT, Digital and Data

Position Type: Salaried

Location: Headquarters & Technology Center – Auburn Hills

48326, US

Date Posted: July 2, 2026

Brand: FCA Group

We are seeking a strategic and hands-on Data Engineer to support Purchasing and Finance Analytics and Programs within our North America Data & AI team. Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business users). It is a discipline that involves collaboration across business and IT units.

In addition to creating and maintaining an optimal pipeline architecture, typical duties and responsibilities for a Data Engineer position may include:

The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists, engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise.

Key Responsibilities:

Assembling large, complex sets of data that meet non-functional and functional business requirements

Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.

Develop robust ETL (Extract, Transform, Load) process to integrate data from various sources.

Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes

Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS, Azure, DB2 and SQL technologies

Building scalable tables to provide actionable insight into key business performance metrics including operational efficiency and customer acquisition

Working with stakeholders including the Data Product teams to support their data infrastructure needs while assisting with data-related technical issues

Design and maintain data models, schemas, and database structures to support analytical and operational use cases.

Optimize data storage and retrieval mechanisms for performance and scalability.

Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.

Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.

Apply statistical analysis and machine learning techniques to solve business and operational problems.

Partner with business stakeholders to understand requirements and translate them into analytical solutions.

Translate business needs into actionable AI use cases and technical requirements

Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.

Ensure data quality, lineage, documentation, and compliance with governance requirements

Create dashboards and analytical outputs that drive insight adoption and operational impact

Collaborate with business data engineers, and platform teams on scalability, performance, and best practices

EOE/Disability/Veteran

At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.

Our benefits reflects the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.

As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.

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