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# Data Engineer Microsoft Fabric

- **Company:** Hays
- **Location:** Mannheim, Germany
- **Salary:** €54,000.0 - €70,500.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Cloud Engineering, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Meta-Data Management, Power BI, Standard Sql, Working Model 2D, Data Processing, Apache Spark, Microsoft Fabric, Data Analytics, Data Management, Data Pipelines, Databricks
- **Published:** July 31, 2026
- **Apply:** https://www.xing.com/jobs/mannheim-data-engineer-microsoft-fabric-156702531

## About the Role

* Experience in Data Engineering, Data Warehousing, or Analytics Engineering within modern cloud-based environments
 * Strong expertise with Microsoft Fabric, Azure-based data platforms, Databricks, or comparable technologies
 * Excellent knowledge of SQL and Spark; experience with Python and data pipeline automation is highly desirable
 * Solid understanding of Lakehouse architectures, data modeling, and enterprise-scale analytics platforms
 * Experience with Power BI, CI/CD practices, data governance frameworks, and self-service analytics is a plus
 * A structured and solution-oriented mindset combined with strong communication skills and the ability to collaborate effectively across technical and business teams

## Description

* A strategically important role with significant influence on the future direction of the company's Data & Analytics landscape
 * The opportunity to work with modern technologies and shape a state-of-the-art Microsoft Fabric platform
 * Clear career development paths towards Solution Architecture or Leadership positions
 * A collaborative, open-minded, and innovation-driven team environment
 * Flexible working arrangements, hybrid working model, and attractive employee benefits

Your Duties:

 * Design, develop, and enhance scalable data solutions within a modern Microsoft Fabric environment, enabling reliable and efficient data processing across the organization
 * Build and optimize data integration processes, transforming data from multiple source systems into analytics-ready assets for business stakeholders
 * Develop robust ELT/ETL workflows, data models, and Lakehouse structures while continuously improving performance, scalability, and maintainability
 * Drive the evolution of the data platform through modern architecture approaches, automation, monitoring, and governance best practices
 * Ensure high standards of data quality, security, compliance, and operational reliability through testing, validation, metadata management, and access control concepts
 * Act as a technical sparring partner for architects, developers, and business teams, contributing to architecture decisions and future platform strategy


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