Senior Data Engineer - AI Data Pipelines & Governance

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Stellantis Financial Services is seeking a Senior Data Engineer to join the Supply Chain AI Hub. You will help turn AI ambition into reliable data foundations, design data models and pipelines, and promote governance and traceability to support analytics and deployment.

Collaborate with business, engineering and ICT stakeholders, own a defined subset of data engineering scope, and drive scalable, reusable data‑engineering practices across Supply Chain.

Qualifications

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

Responsibilities

• Design, improve or govern data models, transformation logic and pipeline components that support AI and analytics use cases
• Promote maintainable structures, reusable components and clear lineage across transformations where relevant
• Support delivery teams with practical data‑engineering discipline rather than one‑off technical builds
• Clarify selected source‑to‑platform pathways, integration dependencies and technical constraints affecting delivery
• Help maintain visibility on traceability, handoffs and access conditions across Supply Chain
• Work with ICT and engineering stakeholders to keep the build path practical and scalable
• Contribute to selected quality checks, certification routines, governance expectations or compliance‑related traceability needs depending on the scope assigned
• Help surface structural data issues, documentation gaps or control weaknesses that affect deployment readiness
• Support a trusted delivery environment by making data assets more visible, understandable and supportable

Skills

Data modelling

Pipelines

Integration

Data quality

Data governance

SQL

Stakeholder management

Ownership

Education

Bachelor’s or Master’s degree in Computer Science / Data Engineering / Information Systems / Engineering / Mathematics

Tools

Databricks

Spark

Snowflake

Job description

Stellantis Financial Services is seeking a Senior Data Engineer to join the Supply Chain AI Hub. You will help turn AI ambition into reliable data foundations, design data models and pipelines, and promote governance and traceability to support analytics and deployment.

Collaborate with business, engineering and ICT stakeholders, own a defined subset of data engineering scope, and drive scalable, reusable data‑engineering practices across Supply Chain.