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Data Engineer (m/f/d)
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Europe
Python
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Accountabilities:
- Architect, develop, and deploy robust, scalable data solutions using Azure tools.
- Design and optimize ETL/ELT data pipelines using Python, PySpark, and SQL.
- Build and manage modern data architectures, including data lakes and warehouses.
Requirements:
- 5+ years of experience in designing and deploying data solutions in Azure and Databricks.
- Strong skills in Python, SQL, PySpark, and modern ETL practices.
- Advanced knowledge of Azure tools such as Synapse, Data Factory, and Power BI.
Benefits:
- Flexible working hours and the ability to work from anywhere.
- Opportunities for continuous learning and professional growth.
- Collaborative and inclusive work environment.
Jobgether
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.