ICT Data Engineer

Stellantis offers a fast paced, collaborative environment that emphasizes rapid delivery and close partnership with business teams. In this role, you will support Purchasing and Finance Analytics and Programs within the North America Data & AI team, designing and maintaining data pipelines and infrastructure to enable analytics and data products.

Responsibilities

• Assemble large, complex data sets that satisfy both functional and non functional 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 processes to integrate data from diverse sources.
• Identify and implement internal process improvements, including infrastructure redesign for greater scalability, optimizing data delivery, and automating manual tasks.
• Build the infrastructure required for efficient extraction, transformation, and loading of data from various sources using AWS, Azure, DB2, and SQL technologies.
• Create scalable tables to provide actionable insights into key performance metrics such as operational efficiency and customer acquisition.
• Collaborate with stakeholders, including Data Product teams, to support data infrastructure needs and assist 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, aligning with business goals and timelines.
• Partner with 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.
• Translate business requirements into analytical solutions and actionable AI use cases.
• 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.

Requirements

• Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or a related field.
• Minimum 3 years of experience as a Data Scientist, Advanced Analyst, or a similar role.
• Strong proficiency in Python, SQL, PySpark, and visualization tools (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 both technical and non technical audiences.
• Proven track record 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 communications and stakeholder engagement skills.

Technologies

• Python
• SQL
• PySpark
• Power BI
• Foundry Workshop
• AWS
• Azure
• DB2
• Palantir Foundry
• Snowflake
• Databricks
• GCP

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 and Snowflake Intelligence.
• Master's degree in Data Science, Statistics, Engineering, Computer Science, or a related field.
• Experience thriving in a fast paced environment that emphasizes rapid delivery for business partners, in a highly collaborative culture that values speed, quality, and driving change and value.