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# Data Engineer / Power Platform

- **Company:** HADDAD BRANDS EUROPE
- **Location:** Saint-Denis, France
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Computer Programming, Databases, Data Governance, Data Hub, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Microsoft Dynamics, Microsoft SQL Server, Performance Tuning, Power BI, Standard Sql, Salesforce.Com, Shell Script, Systems Integration, Transaction Data, Web Services, Workflow Management Systems, Microsoft Power Automate, Azure Data Factory, Power Platform Integration, Snowflake, Git, Data Layers, Microsoft Fabric, Deployment Automation, Api Design, Azure Synapse Analytics, Software Version Control, Powerapps, Web Api
- **Published:** July 30, 2026
- **Apply:** https://fr.indeed.com/viewjob?jk=b43cc3e612940dcf

## About the Role

* 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, * 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

## Description

* 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, * 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


## Related Videos

- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
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- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)

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