Senior Data Engineer (Supply Chain)

Stellantis; Torino; In loco; EUR 43.000 - 55.000; Tempo pieno

Descrizione del lavoro

Stellantis in Torino is seeking a Senior Data Engineer to turn AI ambitions into reliable data foundations and delivery-ready assets. You will collaborate with business, engineering and ICT stakeholders to design models, pipelines and governance practices that scale data delivery across Supply Chain.

We value a Master’s degree and 3–7 years of experience, strong SQL, and fluency in English and French. This role offers a challenging path to shape data architectures in a global automaker, with

Competenze

• Master’s degree required in a related field.
• 3–7 years of total professional experience in data engineering.
• Fluent English and French.
• Experience with data pipelines, integration, semantic, lineage, architecture and platform environments.

Mansioni

• 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.
• Clarify source-to-platform pathways, integration dependencies and technical constraints.
• 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 quality checks, certification routines, governance expectations or compliance-related traceability needs.

Conoscenze

Data engineering

SQL

Data modelling

Pipelines

Data integration

Data quality

Data governance

Traceability

Stakeholder collaboration

Formazione

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

Descrizione del lavoro

Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable, and safe mobility solutions. Our Company’s strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our people, and our deep roots in the communities in which we operate. Our ambitious electrification and software strategies and the creation of an innovative ecosystem of strategic, game-changing partnerships are driving our transformation to a sustainable mobility tech company.

The driving force behind us is the diverse and talented group of men and women around the world who bring their passion and experience to their work every day. And while we are a truly global organization, we remain deeply rooted in the communities in which we operate and where our colleagues live and work.

With industrial operations in nearly 30 countries, Stellantis could consistently exceed the evolving needs and expectations of consumers in more than 130 markets, while creating superior value for all stakeholders.

Job Overview

Join the Supply Chain AI Hub as a Senior Data Engineer helping turn AI ambition into reliable data foundations and delivery-ready assets. This role helps engage business, engineering and ICT stakeholders around practical data needs and constraints, scale AI delivery through stronger data models, pipelines, integration pathways, quality routines and traceability, and pioneer more robust data-engineering practices that make solutions easier to trust, operate and industrialize.

Responsibilities

The responsibilities of the Data Engineer include but are not limited to the following:

• 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.

Data Quality, Certification & Governance Support

• 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.

Your Profile

• 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.

Qualifications, Skills & Experience

• Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering, Mathematics, or related field.
• 3-7 years of total professional experience in data engineering or data platforms.
• At least 2-4 years in data engineering roles with hands-on delivery experience.
• Experience with data pipelines, integration, semantic, lineage, architecture and platform environments.
• Enterprise-scale data transformation and delivery experience.
• Supply Chain exposure is preferred.
• Fluent English and French.

Offer

• Salary range: from 43 € to 55 €, that will be defined depending on the level of adherence of the candidate to the job requirements
• Collective Agreement: In accordance with the provisions of the Specific Collective Labour Agreement (CCSL – CNEL code: CO10), and in particular with regard to the classification within the (first / second / third) professional area.

Disclaimer

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams will allow us to better meet the evolving needs of our customers and care for our future.