Data Management Specialist (DataOps Engineer) H/F

Informations générales

Entité de rattachement

GEODIS est un leader mondial du transport et de la logistique, reconnu pour son expertise sur l'ensemble de la supply chain. Partenaire de croissance de ses clients, GEODIS intervient sur cinq métiers : l'optimisation de la chaîne d'approvisionnement, le Freight Forwarding, la logistique contractuelle, la distribution & l'express et le transport routier. Avec un réseau mondial couvrant près de 166 pays et plus de 49 720 collaborateurs, GEODIS se classe au sixième rang mondial de son secteur. En 2024, GEODIS a réalisé un chiffre d'affaires de 11,3 milliards d'euros. GEODIS est une société du groupe SNCF.  
A compétences égales, une attention particulière sera accordée aux candidatures des personnes en situation de handicap.  

Référence

2025-15551  

Line Of Business

CORPORATE

Description du poste

Type de contrat

CDI-Temps plein

Fonction

Fonctions Support - Informatique

Intitulé du poste

Data Management Specialist (DataOps Engineer) H/F

Description de la mission

The Data Management Specialist will play a crucial role in supporting the Data Management Lead within the Enterprise Architecture & Data Management team.

This position is designed for a tech-savvy individual who is adaptable and comfortable with Python, with a strong inclination towards governance.



The primary purpose of this role is to ensure the integrity, quality, and governance of data products, metadata, and data lineage within the organization, contributing to the successful adoption of a data mesh architecture.



Main activities:

Data Management stream

Collaborate closely with the Data Management Lead to implement and uphold best practices in data management and governance, facilitating the transition to a data product approach within the data mesh architecture.

Support data management implementation for all Data stakeholders: Data Owners, IT Product or Application Owners, Data Engineers and Data Analysts, Enterprise Architecture.

Control data products and ensure their quality and compliance with governance standards.

Interact with various lines of business and regional teams to gather requirements and provide support.

Ensure the accuracy and completeness of metadata in the data catalog and maintain the quality of both manual and automatic data lineage.

Manage and monitor Data Management tooling and technical processes: MetaData Catalog (OpenMetadata), Data Quality Management (Dataiku), Data Pipeline quality checks, Metadata tools and pipelines (Dataiku and Python), Data Product Catalog (DataMesh Manager)

Develop and implement automated solutions for data management processes e.g., by developing custom scripts and tools using Python to enhance data governance and quality.



Data Quality Stream

Support Data Management Lead as a referent to provide support and expertise to guarantee Data quality, at Global and Data Domain levels.

In collaboration with the Datalayer Management team, contributes define and build standard data quality tooling: unit tests, end to end monitoring, post processing quality control and dashboarding.

In collaboration with the Data Engineering teams (Corp, Lob & Region) and Data owners, take part in set up data quality metrics, check and dashboards and monitors data quality through the standard tooling.

Profil du candidat

The ideal candidate for this role is an adaptable and tech-oriented individual with a solid understanding of Python and a keen interest in data management.

While not necessarily an expert in data management, the candidate should be familiar with metadata management and comfortable working in a dynamic environment.

Strong communication skills are essential, as the role involves significant interaction with various business lines and regional teams.

Excellent written and spoken language skills in English and French

The candidate should be proactive, detail-oriented, and capable of supporting the Data Management Lead in ensuring the quality and governance of data products and lineage within the organization.

Familiarity with data mesh architecture and a data product approach would be a plus.

Temps de travail en %

100

Lieu de prise de service

Lieu de prise de service

Europe, France, Île-de-France, Hauts-de-Seine

Ville(s)

Levallois

Critères candidat

Niveau d'études min. requis

BAC+5 / MASTER

Niveau d'expérience dans la fonction

Confirmé (5 à 10 ans d'expérience)

Langues

Anglais (Maitrise Courante)