Senior Data Engineer
Indexed description
Your Missions
Data Modelling, Pipelines & Reuse:
- Design, improve or govern selected 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
- Strong data-engineering experience in modern enterprise environments, with depth in some combination of data modelling, pipelines, integration, quality, lineage or governance-related 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
- Broader exposure across the different building blocks that make AI-ready data operational at scale
- Experience working 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
- Work on data-engineering challenges directly tied to real AI deployment in Supply Chain
- Join a role broad enough to offer variety, while still allowing focused ownership on a defined perimeter
- Help strengthen the data foundations that make scalable AI delivery possible
- 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
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
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
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
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search