ABOUT THE ROLE
We are looking for an Ecommerce – Parts Ranges Data Specialist to manage, standardize and optimize product data for parts and accessories across multiple systems and sources.
This role is essential to ensure high‐quality, consistent and reliable product information for our e‐commerce and marketplace platforms. You will work on complex product datasets, transforming heterogeneous information into a unified, structured and scalable data model that supports digital sales and customer experience.
WHAT YOU WILL DO
In this role, you will:
* Collect, consolidate and harmonize product data from multiple sources (PIM systems, supplier feeds, ERP and internal databases).
* Map, merge and transform heterogeneous product information into a standardized data model .
* Clean, normalize and enrich product data, identifying and correcting missing, inconsistent or incorrect attributes .
* Enrich product information using reference databases, taxonomies and external sources.
* Ensure compliance with data quality standards (completeness, accuracy, integrity).
* Maintain data governance documentation, including attribute dictionaries, naming conventions and validation rules.
* Collaborate with category managers, marketing teams, marketplaces and technical stakeholders to ensure aligned and reliable product content.
* Operate and optimize PIM/MDM systems, supporting automation of data import, validation and enrichment workflows.
* Monitor data quality KPIs and contribute to continuous improvement of tools, processes and controls.
WHO YOU ARE
You are a structured and detail‐oriented professional with a strong interest in product data and digital environments. You bring:
* 3–5 years of experience in Product Data Management, PIM/MDM, Data Engineering or ETL‐focused roles.
* Experience in data extraction, transformation and validation .
* Hands‐on experience with PIM/MDM platforms (Akeneo, Salsify or similar).
* Familiarity with ETL processes, both manual and automated.
* Experience working in e‐commerce or marketplace environments .
* Strong analytical mindset and attention to data quality.
* Ability to work effectively in cross‐functional teams .
* Fluent english.
KEY METRICS YOU WILL IMPACT
* Product data completeness and accuracy
* Attribute error rate
* Time to publish and update product data
* Automation coverage of data workflows
WHY JOIN STELLANTIS
* Be part of a global automotive leader accelerating its digital and e‐commerce transformation.
* Work in a role with direct impact on online sales performance and customer experience .
* Join a data‐driven and international environment .
* Grow your expertise in product data, PIM systems and digital platforms .
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.