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Data Engineer Python/Azure Job Opening In madrid – Now Hiring Super Deporte


Job description

Resumen
  • Desarrollo de soluciones en Python robustas y mantenibles, aplicando buenas prácticas (clean code, pruebas unitarias, patrones de diseño) para construir APIs, Azure Functions y procesos de backend escalables.

  • Diseñar, implementar y optimizar pipelines de datos utilizando Spark y Databricks, aplicando procesos ETL/ELT eficientes y asegurando la calidad, trazabilidad y gobierno del dato.

  • Integrar y operar bases de datos relacionales, NoSQL y vectoriales (SQL Server, MongoDB, CosmosDB, Snowflake, Azure AI Search), optimizando consultas y diseñando modelos de datos adaptados a los casos de uso.

  • Orquestar flujos de datos y procesos en Azure, utilizando servicios como Data Factory, Azure Functions, Data Lake, Key Vault y Log Analytics para construir arquitecturas modulares, seguras y monitorizadas.

  • Desplegar y mantener entornos de integración y entrega continua (CI/CD) en Azure DevOps o GitHub Actions, creando pipelines YAML automatizados para pruebas, análisis estático, despliegues y versionado.

  • Explorar e integrar tecnologías de IA generativa y ML en producción, incluyendo uso de APIs de OpenAI, modelos vectoriales, endpoints en Azure Machine Learning y servicios cognitivos como Document Intelligence.

NS, es una empresa donde se valora tanto el perfil profesional tecnológico de los trabajadores, como el interés y la aptitud que demuestren a la hora de desarrollar nuevos proyectos.

Por ello, requerimos personas constantes, con ganas de evolucionar y aprender.

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Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in madrid, Spain, highlighting market share and opportunities for professionals in Data Engineer roles.

98989 Jobs in Spain
98989
29984 Jobs in Madrid
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Download Data Engineer Jobs Trends in Madrid and Spain

Are You Looking for Data Engineer Python/Azure Job?

Great news! is currently hiring and seeking a Data Engineer Python/Azure to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Super Deporte adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Spain laws and regulations

What Is the Average Salary Range for Data Engineer Python/Azure Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in madrid. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer Python/Azure?

Key qualifications for Data Engineer Python/Azure typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineer Python/Azure Job Success

Super Deporte interview tips for Data Engineer Python/Azure

Here are some tips to help you prepare for and ace your Data Engineer Python/Azure job interview:

Before the Interview:

Research: Learn about the Super Deporte's mission, values, products, and the specific job requirements and get further information about

Other Openings

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To prepare for your Data Engineer Python/Azure interview at Super Deporte, research the company, understand the job requirements, and practice common interview questions.

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