Senior Data Engineer | Senior Data Engineer (m/w/d)
Schmitt GmbH
Job Summary
As a Senior Data Engineer at Schmitt Engineering, you will take end-to-end responsibility for the development, operation, and optimization of complex data products and pipelines. Your daily activities will involve building batch and streaming pipelines within Microsoft Fabric Lakehouses using SQL, Spark, and Delta Lake. You will be responsible for the entire lifecycle of data products, from ingestion and transformation to monitoring and workflow orchestration with Airflow. The role requires a strong focus on data quality, performance optimization, and GDPR compliance, ensuring that datasets are perfectly prepared for Power BI analysis. You will work within an agile DevOps environment (Scrum/SAFe), collaborating on troubleshooting and stakeholder communication. This position is particularly attractive for professionals seeking a stable, permanent role with flexible working models, 30 days of vacation, and the opportunity to work with high-tech industry clients using modern cloud technologies like Azure and Microsoft Fabric.
Required Skills
Education
University degree in Computer Science, Business Informatics, Data Science, or a comparable qualification with a strong IT and data focus.
Experience
- Professional experience in Data Engineering with a focus on IT and data-related environments
- Experience in developing and operating batch and streaming architectures
- Proven experience with Microsoft Fabric, Azure, and MySQL data warehousing
- Experience in application operation and working within agile SCRUM teams
- Experience with GitLab CI/CD pipelines including build, test, and deployment processes
Languages
Additional
- Must have German language skills at level B2+ as it is the project working language. Experience with AWS (S3, EMR, Lambda) and Infrastructure as Code (IaC) is considered an optional asset.
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