Data Engineer (Azure)
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Nigel Frank International, España
- Ver referencia salarial*
Job description
Data Engineer (Azure)
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Role & Responsibilities
* As a Data Engineer, you will work on creating websites and portals for both internal and external use, developing and evolving the data visualization platform by creating data models and ETLs, within distributed teams with good communication and varying levels of scrum maturity.
* Design, develop, test, and maintain features for the Databricks Data Warehouse solution.
* Assess and implement technical aspects of access concepts, including RBAC/ABAC governance, to ensure data security and compliance.
* Collaborate with cross-functional teams to define, design, and launch new features.
* Write clean, maintainable, and efficient code, primarily in Python.
* Support/manage Unity Catalog capabilities, governance, and domain-driven catalog management.
* Process automation.
* Troubleshoot, debug, and optimize existing solutions.
* Stay updated with the latest industry standards and technologies and strive for continuous improvement.
Skills & Qualifications
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Technical University Degree (STEM)
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4-5 years of experience with Python and SQL, and 1-2 years with Power Apps
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3-4 years of experience in Data Warehousing and/or Data Engineering in Azure
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2-3 years with Azure Databricks and 1-2 years with Databricks Unity Catalog, including implementation
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1-2 years of experience in access concepts, RBAC/ABAC, and governance
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C1 level English
Benefits
* Vacation: 30 days.
* Intensive schedule on Fridays and in August.
* 100% remote work in July, August, and December.
* Hybrid model (60% remote).
* Competitive salary.
* Career plan and internal training.
* Additional benefits (life insurance, health insurance, etc.).
Job Summary
Las Estimaciones Salariales son un servicio proporcionado por Experteer para indicar el valor de la oferta en el mercado laboral. No se trata de información indicada por parte de los recruiters, pero sí de estimaciones realizadas por Experteer basándose en los datos del mercado.
Para calcular las referencias salariales se tienen en cuenta tanto datos internos como datos externos. No obstante, la Estimación Salarial puede llegar a variar hasta un 15% (e incluso más en algunos casos), en comparación con los salarios ofrecidos realmente por las empresas.
La referencia salarial de recruiter es una orientación. En este sentido, el salario final ofrecido por parte de la empresa depende de diferentes factores tales como la experiencia y las habilidades profesionales de los candidatos.