ICT Data Engineer

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.

Responsibilities

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

Basic Qualifications

Bachelor’s or in Data Science, Statistics, Engineering, Computer Science, or related field.
Minimum 3 years' experience as Data Scientist, Advanced Analyst, or similar role
Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop).
Solid understanding of statistics, exploratory data analysis, and applied machine learning.
Experience working with large, complex datasets in enterprise environments
Ability to communicate analytical findings clearly to technical and non‑technical audiences.
Proven experience delivering end‑to‑end analytics or data science solutions into production.
Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP).
Strong communication and stakeholder engagement skills.

Preferred Qualifications

Familiarity with data modeling, semantic layers, and enterprise data platforms.
Industry experience in automotive and manufacturing
Exposure to MLOps concepts, model deployment, or monitoring
Hands-on experience with Palantir Foundry, Snowflake Intelligence
Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.

Our Benefits — Designed With You In Mind

Comprehensive Health & Well-being Coverage

From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected. Also, our Employee Assistance Program (EAP) offers confidential support for personal and professional challenges, always ready when you need it.

Family Building Benefit

We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans

We Help You Plan For The Future With

An employer match on contributions to your 401k, Roth, and Catch-Up plans
An employer contribution, even if you don’t contribute

Income Protection & Insurance Options

Benefit from both employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc. - supporting the needs of you and your family and ensuring peace of mind.

Company Vehicle Lease Program

Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included. Plus, take advantage of exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

We believe in investing in your future and your passions:

Tuition reimbursement
Student loan refinancing programs
18 paid volunteer hours each year to make a difference in your community

And so much more!

When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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.

EOE / Disability / Veteran
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