7 meilleures offres (python platform engineer devops, paris, a8) (à pourvoir)

Data Engineer / Power Platform
Haddad Brands Europe —Saint-Denis (93)
- Azure
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Data Engineer / Power Platform

Haddad Brands Europe -
Saint-Denis (93)

Postuler rapidement

Détails de l'emploi

Il y a 14 heures

Avantages

Parking à disposition
Comité d'entreprise (CE)

Qualifications

Français
Réglage de performance
Power BI
Modélisation de données
Azure
DevOps
Microsoft SQL Server
Git
Anglais
Microsoft Dynamics 365
Administration de bases de données
REST
Scripting
Python
Shell scripting

Description complète du poste

Haddad Brands Europe, founded in 2017, specializes in the distribution of children’s apparel under exclusive licenses (Nike, Levi’s, Converse, Jordan, Lacoste…) across Europe.

Operational for 9 years, the company has experienced remarkable growth and now counts over 500 employees throughout Europe.

We distribute our products both through wholesale, working with major multi-brand and specialized retailers, and through retail, via our corners in leading department stores.

In concrete terms, this means that if you purchase children’s apparel (0–7 years for Nike, 0–16 years for Levi’s, Converse, and Jordan), whether in a physical store, online, in the Netherlands, the UK, Italy, or anywhere else in Europe, the product you’re holding has gone through us — even if you bought it in an official Nike or Levi’s store!

We are currently looking for a Data Engineer / Power Platform.

FOCUS & KEY PROJECTS:

Building a scalable data warehouse on Microsoft Fabric / Synapse, consolidating transactional data from Dynamics 365, Salesforce, and MS SQL systems
Automating ETL pipelines for nightly and near-real-time ingestion
Standing up the data layer and Power Platform solutions that feed BI and AI use-cases
Implementing data quality, lineage, and governance (Microsoft Purview) in partnership with the Data Quality Analyst

KEY RESPONSIBILITIES

Design, develop, and maintain ETL processes extracting from Dynamics 365, Salesforce, and MS SQL Server
Build and maintain API-based integrations (REST / web services) between source systems and the data platform
Model and optimise data-warehouse schemas (star / snowflake) for performance and scale
Take on core database ownership: performance tuning, backup/DR, security, and data models
Build Power Platform solutions (Power BI datasets, Power Apps, Power Automate, Dataverse) on top of the data layer
Implement and monitor data-quality checks, alerts, and remediation workflows
Automate deployments and version-control pipelines using Azure DevOps and Git

REQUIRED QUALIFICATIONS:

Proven experience as a Data Engineer in a corporate environment
Strong SQL and hands-on experience with MS SQL Server
Proficiency with ETL frameworks or orchestration tools
Experience integrating systems and data via REST / web APIs
Hands-on with Microsoft Fabric and/or Azure Synapse for warehousing and pipelines
Programming experience in Python, shell scripting, or similar
Solid understanding of data modeling, warehousing concepts, and performance tuning
Hands-on experience with the Microsoft Power Platform (Power BI at minimum)
English proficiency at C1 level or higher

PREFERRED QUALIFICATIONS:

Azure Data Factory, Dataverse, or dbt
Database administration (backup/DR, security hardening) on SQL Server
Familiarity with data governance, lineage, and quality best practices
Experience with children's clothing / apparel or footwear retail data
French-language proficiency

EMPLOYMENT CONDITIONS:

Start date: As soon as possible (ASAP)
Location: Position based in Saint-Denis, next to the Stade de France and a 5-minute walk from the RER B station.

BENEFITS:

Company health insurance (60% employer-funded)
50% reimbursement of public transportation costs or access to private parking
Employee discounts on Nike.com and Levi.com
Employee sales
Works council (CSE) benefits (discounts and gift vouchers)
Meal vouchers
WellPass (Gymlib) membership
On-site gym (€12/month membership) and wellness facilities
Profit-sharing bonus
Access to a childcare (daycare) place

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