Senior Data Engineer

Senior Data Engineer role at Stellantis in the Supply Chain AI Hub, onsite in Auburn Hills, MI, focused on building reliable data foundations, pipelines, and governance to scale AI delivery and industrialize data engineering practices.

Responsibilities

• Design and enhance data models, transformation logic, and pipeline components to enable AI and analytics use cases, including governance where applicable.
• Foster maintainable architectures, reusable components, and transparent data lineage across transformations when relevant.
• Provide practical data engineering discipline to delivery teams, moving beyond ad hoc builds.
• Define source-to-platform pathways, integration dependencies, and technical constraints that influence delivery.
• Maintain visibility into traceability, handoffs, and access controls across the Supply Chain.
• Collaborate with ICT and engineering stakeholders to keep build approaches practical and scalable.
• Contribute to quality checks, certification routines, governance expectations, and compliance-related traceability as scope allows.
• Identify structural data issues, documentation gaps, or control weaknesses that affect deployment readiness.
• Support a trusted delivery environment by increasing the visibility, understandability, and supportability of data assets.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or a related field
• Eight years of experience in data engineering or data platforms
• Experience in the supply chain domain
• Hands-on experience with modern data platforms such as Databricks, Apache Spark, Snowflake, or equivalent
• Experience with data pipelines, data integration, semantics, lineage, architecture, and platform environments
• Experience delivering data transformations at enterprise scale
• Strong collaboration skills with analytics, AI, and software engineering teams

Technologies

• Databricks
• Spark
• Snowflake
• SQL

Your Profile

• Proven data engineering background in modern enterprise settings, with depth in data modelling, pipelines, integration, quality, lineage, or governance topics
• Ability to balance business needs, technical constraints, and delivery realities
• Strong SQL skills and practical understanding of data structures, transformations, traceability, and controlled delivery environments
• Comfortable working with multiple stakeholders across architecture, data, engineering, and governance
• Structured, pragmatic, and capable of owning a defined subset of a broader senior data engineering scope

Skills You’ll Grow

• Broader exposure to the building blocks that make AI-ready data operate at scale
• Experience at the intersection of data engineering, integration, quality, and delivery governance
• Opportunity to deepen expertise in a specific component while contributing to a wider AI data foundation agenda

Why Join / Impact

• Work on data engineering challenges tied directly to real AI deployment in Supply Chain
• Role offers variety with focused ownership within a defined perimeter
• Help strengthen the data foundations that enable scalable AI delivery