ABOUT THE ROLEWe 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 DOIn 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 AREYou 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 IMPACTProduct data completeness and accuracyAttribute error rateTime to publish and update product dataAutomation coverage of data workflowsWHY JOIN STELLANTISBe 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.