Data Engineer (40365)

I'm looking for a Data Engineer experienced with Azure Databricks to help build and optimize scalable data pipelines. You’ll work with Azure Data Lake, fine-tune ETL processes for performance and cost, and collaborate with analysts and scientists to deliver clean, efficient data solutions. Strong SQL, Python, and data warehousing knowledge is required, along with solid communication skills in both English and German. Experience with Power BI, Stream Analytics, or data governance is a plus.

🚀 Project
- build and maintain scalable ETL processes and data pipelines in Azure Databricks
- implement and optimize data storage using Azure Data Lake Storage
- monitor, troubleshoot, and fine-tune Databricks pipelines for performance and cost efficiency
- collaborate with data scientists, analysts, and stakeholders to translate business requirements into technical solutions

🎯 Skills
- bachelor's degree in computer science, engineering, or a related field
- solid experience as a data engineer with hands-on Azure Databricks
- proficiency in SQL, T-SQL, Python, or equivalent
- strong knowledge of ETL, data warehousing, and integration strategies
- problem-solving mindset with experience in pipeline optimization
- strong communication and collaboration skills
- German B2

💡 Nice to have
- experience with Power BI
- familiarity with Azure Stream Analytics
- understanding of data governance and data security frameworks