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# Senior Data Engineer

- **Company:** MM Group
- **Location:** Wien, Austria (Remote available)
- **Experience:** Expert
- **Salary:** €60,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Automation of Tests, Continuous Integration, Information Engineering, Data Governance, Data Systems, Python (Programming Language), Meta-Data Management, Power BI, SQL Databases, Data Ingestion, Apache Spark, Microsoft Fabric, Data Analytics, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** July 17, 2026
- **Apply:** https://at.indeed.com/viewjob?jk=810d86aae8967304

## About the Role

* You bring solid experience in Data Engineering on modern cloud platforms (e.g., Microsoft Fabric, Azure Synapse, Databricks) and a strong understanding of Lakehouse architectures and analytics data modeling
 * You have strong technical skills in SQL, Spark, and Python, with hands-on experience in building, orchestrating, monitoring, and automating data pipelines and CI/CD processes.
 * You work in a structured, quality-oriented manner and are passionate about delivering scalable, low-maintenance, and business-focused data solutions
 * Ideally, you have experience with Microsoft Fabric, Power BI, self-service analytics, and data governance frameworks, including security and compliance considerations
 * You communicate effectively with technical and business stakeholders and have a proven track record of driving collaboration and successful delivery in agile, cross-functional, and scaled agile environments

## Description

To strengthen our Data & Analytics team in Vienna, we are looking for a passionate Senior Data Engineer (m/f/d) . In this role, you design, build, and optimize scalable data solutions in a modern Microsoft Fabric Lakehouse environment , enabling reporting, analytics, and self-service BI through high-quality, governed data products., * You design, build, and automate scalable data pipelines and Lakehouse solutions in Microsoft Fabric, ensuring reliable and governed data ingestion, transformation, and delivery

 * You take end-to-end ownership of data products, from requirements analysis, data modelling and optimization to development, automated testing, deployment, and operation
 * You ensure data quality, governance, security, and reliable automated operations through standards, metadata management, validation, monitoring, and access controls
 * You collaborate with architects, developers, and business stakeholders in an agile environment to deliver analytics-ready data products and drive continuous improvement


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