Data Engineer Microsoft Fabric (m/f/d)

Our client is a globally operating industrial company that is investing heavily in its data and analytics capabilities. To strengthen a growing Data & Analytics team, we are looking for an experienced Data Engineer who enjoys building modern cloud-based data platforms and driving technical excellence across the entire data lifecycle

Your Benefits:

• 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

Your Qualifications:

• 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

Bereitgestellt in Kooperation mit der Bundesagentur für Arbeit.