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Devoteam

Senior data engineer (Python) con inglés

Devoteam Madrid, Community of Madrid, Spain

Business Consulting and Services · 10,001+ employees

7 h ago
python Senior (5-10 yrs) Full-time Spain
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About the role

The Senior Data Engineer will design, build, and industrialize scalable data solutions using modern software engineering and CI/CD practices. They are responsible for managing the full data lifecycle, from ingestion and transformation to production deployment and ongoing operational support.

What they look for

Python Pandas NumPy Data Engineering DevOps ETL/ELT Pipelines CI/CD Software Engineering Cloud Platforms Azure Data Ingestion Data Transformation Monitoring Logging Agile Methodology Stakeholder Management

Requirements

Candidates must have extensive hands-on experience with Python, Pandas, and NumPy, along with a strong background in data engineering and DevOps principles. The role requires the ability to work with complex datasets and a proven track record of taking solutions from development to production-ready environments.

Benefits

Flexible remuneration Performance-based bonus Online training platform Professional certifications

Full description

Descripción de la empresa

¿Eres un apasionado de la tecnología?

En Devoteam,buscamos un Data engineer con mucha experiencia en Python e inglés muy alto ya que deberá tener reuniones en inglés a diario.

El tipo de contrato es indefinido, con 12 pagas.

Se ofrece retribución flexible y % sobre objetivos.

Se ofrece plataforma de formación online y certificaciones.

 

Descripción del empleo

Profile Summary:

We are looking for a highly experienced Senior Data Engineer with deep expertise in Python, Pandas, and NumPy, combined with strong Data Engineering and DevOps capabilities. The successful candidate will be responsible for designing, building, and industrializing data solutions, ensuring they are scalable, reliable, and fully operationalized in production environments through modern software engineering and CI/CD practices.

Requisitos

Functions:

  • Extensive hands-on experience developing enterprise-grade solutions in Python, with advanced expertise in Pandas and NumPy.
  • Strong background in data engineering, including data ingestion, preprocessing, cleansing, transformation, validation, and enrichment.
  • Design and implementation of scalable and maintainable ETL/ELT pipelines.
  • Development of reusable frameworks and components for large-scale data processing.
  • Optimization of data pipelines for performance, reliability, and operational efficiency.
  • Application of software engineering best practices, including clean code, modular design, testing, and code reviews.
  • Experience working with large and complex datasets in production environments.
  • Ability to transform analytical prototypes into production-ready solutions.
  • Strong understanding of DevOps principles and software delivery lifecycle.
  • Design and maintenance of CI/CD pipelines for automated build, test, deployment, and release processes.
  • Experience creating and managing Python deployment artifacts, packages, and libraries.
  • Implementation of monitoring, logging, alerting, and observability capabilities for production services.
  • Experience supporting and troubleshooting applications in production environments.
  • Familiarity with cloud platforms (Azure and/or other cloud environments)
  • Strong stakeholder management and ability to collaborate with multidisciplinary teams.
  • Results-oriented mindset focused on scalability, robustness, security, and operational excellence.
  • Proven ability to take solutions end-to-end, from development through industrialization, deployment, and ongoing support.
  • Agile methodology

 

  • Contract type: Permanent contract

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