Senior Data Engineer

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

Responsibilities

• Design, enhance or govern data models, transformation logic, and pipeline components that enable AI and analytics use cases
• Foster maintainable architectures, reusable components, and clear lineage across transformations where applicable
• Guide delivery teams with practical data engineering discipline rather than ad hoc builds
• Clarify source to platform pathways, integration dependencies, and constraints impacting delivery
• Improve visibility of traceability, handoffs, and access controls across the Supply Chain
• Collaborate with ICT and engineering stakeholders to keep the build path practical and scalable
• Contribute to quality checks, certification routines, governance expectations, or compliance-related traceability as scoped
• Surface data structure issues, documentation gaps, or control weaknesses that affect deployment readiness
• Support a trusted delivery environment by making data assets more visible, understandable, and maintainable

Requirements

• Bachelor's or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field
• Eight years of experience in data engineering or data platforms
• Prior experience in Supply Chain
• Hands-on experience with modern data platforms such as Databricks, Spark, Snowflake, or equivalent
• Experience with data pipelines, integration, semantics, lineage, architecture and platform environments
• Enterprise-scale data transformation and delivery experience
• Ability to collaborate effectively with analytics, AI, and software engineering teams

Technologies

• Databricks
• Spark
• Snowflake
• SQL

YOUR PROFILE

• Strong data-engineering experience in modern enterprise environments, with depth in data modelling, pipelines, integration, quality, lineage or governance topics
• Able to operate across business needs, technical constraints and delivery realities
• Strong SQL and practical understanding of data structures, transformations, traceability and controlled delivery environments
• Comfortable working with multiple stakeholders across architecture, data, engineering and governance topics
• Structured, pragmatic and able to take ownership of a defined subset of a broader senior data-engineering scope

SKILLS YOU'LL GROW

• Broader exposure across the building blocks that make AI-ready data scalable in operation
• 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 program

WHY JOIN / IMPACT

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