Nous rejoindre, c'est intégrer une entreprise d'envergure mondiale. Mû par la recherche permanente de l'innovation et de l'excellence, pionnier et leader des technologies propres et de la mobilité durable, le Groupe entend rester à la pointe des grandes tendances qui font bouger le monde.
Fort de son efficience, de son agilité et de son esprit d'équipe, le Groupe fait preuve d'exigence et d'audace pour définir la mobilité de demain.
Pour réussir ces transformations, l'entreprise a besoin de tous les talents. Rejoignez-nous !
DATE DE PARUTION
DESCRIPTION DU POSTE
SPECIALITE / EMPLOI
ICT, Digital & Data
ICT, Digital & Data
INTITULE DE POSTE
Data Engineer H/F
DESCRIPTION DE LA MISSION
Stellantis is a leading global automaker and mobility provider that offers clean, connected, affordable and safe mobility solutions.
With 14 brands and industrial operations in nearly 30 countries, Stellantis has the ability to consistently exceed the evolving needs and expectations of consumers in more than 130 markets.
Data plays a key role in Stellantis Strategic Plan, both for generating new revenues, improving efficiency, creating new services and improving customer experience. Stellantis Data organization relies on a transversal operational model involving our many business domains (sales & marketing, supply-chain, purchasing, manufacturing, quality, ...). This model is empowered by a central team of internal experts, “Stellantis Data Factory”, which is in charge of delivering all of our use cases “end-to-end”, from the data ingestion to the use case deployment on the field.
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. Your are a passionate data expert? Stellantis is the ideal playground for leveraging your expertise at scale. Join us!
The candidate will be responsible for expanding and optimizing the data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. He/She will be involved with the many Stellantis business domains on which we deliver use cases (Supply Chain, Manufacturing, Engineering, Sales and Marketing; Digital, Quality, …), in a very diverse, international and challenging environment. He/She will work in close collaboration with architecture and data product teams on data initiatives to ensure an optimal and consistent data delivery process.
Design, implement and monitor complex data pipelines using ELT processes
Understand business requests and needs, and translate them into data engineering tasks to build useful datasets
Work with a large internal data team to build the best efficient Cloud Data Warehouse in the world
Investigate new technologies that may be relevant in Stellantis' context
Combination of business focus, analytical and problem solving skills in order to quickly define a data-driven solution within different initiatives
Ability to work within a team and with a proactive attitude
Ability to communicate and popularize technical topics
Main Tech skills
Strong programming skills in Python and SQL
Strong knowledge of Database Management Systems (RDBMS, NoSQL …) and Big Data architectures (Spark, Hadoop, Hive …)
Familiarity with the use of some of the following Cloud Data Warehouses: Snowflake, Databricks, BigQuery, Amazon Redshift
Knowledge of DevOps and orchestrator tools (code versioning, CI/CD, Docker, Kubernetes, Airflow …)
Other tech skills
Knowledge of Palantir Foundry platform
Knowledge of main supervised and unsupervised machine learning algorithms
Passion for code refactoring into reusable libraries, APIs and tools
Engineering / Computer Programming Master or PhD Degree
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.
TYPE DE CONTRAT STANDARD
LOCALISATION DU POSTE
Europe, France, ,
CRITERES CANDIDATS :
NIVEAU D’EXPERIENCE MIN. REQUIS
5 à 10 ans
NIVEAU D’ETUDES MIN. REQUIS
- Amazon Redshift
- Apache Hadoop
- Apache Hive
- Apache Spark