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Data Engineer (Tech, Python) (Madrid) Job Opening In Madrid – Now Hiring Sngular


Job description

La gente viene a SNGULAR atraída por proyectos que usan tecnologías punteras, y se quedan porque colaboran con grandes profesionales.

Personas primero: somos una empresa colaborativa orientada a las personas, donde TÚ y tu perspectiva siempre serán valoradas.

Pues en SNGULAR, además, lo llevamos a la práctica.

Crecimiento y capacitación continua: Tenemos un espíritu de Start-up con la infraestructura de una gran organización (ya somos 1300).

En SNGULAR adoptamos una cultura plural, donde trabajamos con respeto, donde existe igualdad de oportunidades, donde nos enorgullecemos de nuestra proactividad, trabajamos con humildad e intentamos mantener siempre un espíritu de equipo, sin perder nunca el buen humor.

Formarás parte del equipo de Data de Sngular para colaborar con uno de nuestros principales clientes del sector energético, participando en un proyecto estratégico como Data Engineer.

Trabajarás en un entorno dinámico y transversal, con foco en el desarrollo de pipelines de datos escalables en la nube (AWS), procesamiento distribuido con Spark y automatización mediante CI/CD.

Además, tendrás un rol clave en la toma de requisitos funcionales e interlocución directa con áreas de negocio, por lo que buscamos un perfil con buenas habilidades comunicativas y experiencia en entornos colaborativos y ágiles.

Responsabilidades

Diseñar, desarrollar y mantener pipelines de datos eficientes utilizando Apache Spark y Python.

Implementar soluciones en entornos cloud, especialmente en AWS.

Colaborar con equipos multidisciplinares para la toma de requisitos y diseño de soluciones de datos.

Aplicar metodologías ágiles en el desarrollo e implementación de soluciones.

Asegurar la calidad, seguridad y escalabilidad de las soluciones de datos en producción.

Requisitos

Al menos 5 años de experiencia como Data Engineer.

Conocimientos avanzados en Python para desarrollo de soluciones de datos.

Experiencia con Apache Spark para procesamiento distribuido.

Experiencia práctica en entornos cloud, especialmente AWS.

Experiencia con herramientas de integración y despliegue continuo (CI/CD).

Experiencia en trabajo con metodologías ágiles (Scrum, Kanban, etc.).

Ubicación y modelo de trabajo

Presencialidad requerida de 2 días por semana en las oficinas del cliente ubicadas en Madrid Zona Norte (Las Tablas).

Resto de días en modalidad remota.

Acceso a formación continua: presupuesto individual para formación, obtención de certificaciones, acceso ilimitado a Udemy, clases de idiomas, dinámicas de formación interna.

Beneficios

Flexibilidad horaria, teletrabajo, posibilidad de trabajar desde nuestros Hubs.

22 días de vacaciones + día de cumpleaños + 2 días de asistencia a eventos técnicos + 24 y 31 de diciembre no laborables.

Wellbeing pack: Ayuda para la mejora del bienestar.

Posibilidad de elegir equipo (Windows / Mac).

Tenemos Encuentro Virtual todos los viernes, fiestas, espacios donde podrás expresarte, proponer cambios y ser partícipe de ellos.

#J-18808-Ljbffr

Required Skill Profession

Informática Y Tecnología


  • 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.

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Are You Looking for Data Engineer (Tech, Python) (Madrid) Job?

Great news! is currently hiring and seeking a Data Engineer (Tech, Python) (Madrid) 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 Sngular 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 (Tech, Python) (Madrid) 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 (Tech, Python) (Madrid)?

Key qualifications for Data Engineer (Tech, Python) (Madrid) typically include Informática Y Tecnología 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 (Tech, Python) (Madrid) Job Success

Sngular interview tips for Data Engineer (Tech, Python) (Madrid)

Here are some tips to help you prepare for and ace your Data Engineer (Tech, Python) (Madrid) job interview:

Before the Interview:

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

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Final Thought:

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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