Senior Data Engineer (m/f/d)

In this role you design, build and optimize scalable data solutions in a Microsoft Fabric Lakehouse environment to enable reliable analytics and self-service BI. You own data products end-to-end, from requirements to deployment, with a focus on quality, governance and automated operations. You will collaborate with architects, developers and business stakeholders in an agile setting to deliver analytics-ready data products and drive continuous improvement. This is a chance to shape data architecture in a global packaging business and contribute to sustainable, data-driven decision making.

• Flexible working hours
• Vienna job ticket contribution
• Onboarding including plant tour
• Healthcare benefits
• Discounted shopping
• Work from home one day a week

• Design, build and automate scalable data pipelines and Lakehouse solutions in Microsoft Fabric
• Take end-to-end ownership of data products from requirements analysis to deployment and operation
• Ensure data quality, governance, security, metadata management and monitoring through standards and access controls
• Collaborate with architects, developers and business stakeholders in an agile environment to deliver analytical data products and drive continuous improvement

• Solid experience in Data Engineering on modern cloud platforms (Microsoft Fabric, Azure Synapse, Databricks)
• Strong understanding of Lakehouse architectures and analytics data modeling
• Proficiency in SQL, Spark and Python with hands-on experience in building, orchestrating, monitoring, and automating data pipelines and CI/CD
• Structured, quality-oriented work style with focus on scalable, low-maintenance solutions
• Ideally experience with Microsoft Fabric, Power BI, self-service analytics and data governance frameworks

• Excellent communication with technical and business stakeholders
• Collaborative and cross-functional teamwork
• Agile and delivery-focused mindset
• SQL
• Spark
• Python