Data Engineer | Data Engineer (m/w/d)
Brodos AG
Job Summary
This Data Engineer role focuses on building a reliable and scalable data foundation to support reporting, operational control, and future Analytics and AI applications. The successful candidate will be responsible for structuring data sources, establishing clean models, and ensuring data generates tangible value—transparently and sustainably. Day-to-day tasks include designing stable ETL/ELT processes, developing small automation services using Python or Node.js/TypeScript, and planning and evolving the Data Warehouse/Lakehouse. Key requirements include a degree in Computer Science or equivalent qualification, very strong SQL skills, and practical experience with Azure Data Services (e.g., Data Factory, Synapse) and Power BI. This position offers high flexibility, mobile office options, an international work environment with Indian colleagues, and extensive professional development opportunities, including up to 40 vacation days.
Required Skills
Education
Degree in Computer Science, certification as IT Specialist for Application Development, or comparable qualification.
Experience
- Professional experience with Lakehouse/Warehouse concepts
- Practical experience with Power BI
- Experience with Azure-Datenservices (e.g., Data Factory, Synapse, Databricks, ADLS)
- Experience with Python and/or Spark (PySpark)
- Experience with Versioning and CI/CD using Git
Languages
Additional
- Willingness to share knowledge and create documentation (How-tos & Templates); Structured, analytical mindset with high self-initiative; Strong collaboration skills with departments and stakeholders; Company car available (also for private use).
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