Senior data engineer (Python) con inglés

Devoteam; España; Presencial; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Devoteam is seeking a Senior Data Engineer in Spain to design, build and industrialize scalable data solutions. You will work with Python, Pandas and NumPy to ingest, preprocess, transform and enrich data, while applying DevOps and CI/CD best practices to production deployments.

You will design reliable ETL/ELT pipelines, develop reusable data processing components, and optimize data workflows for performance and observability in cloud environments (Azure or other clouds).

Formación

• Extensive hands-on Python development with Pandas and NumPy.
• Experience designing and building data ingestion, preprocessing, cleansing, transformation, validation and enrichment.
• Design and implementation of scalable ETL/ELT pipelines.
• Development of reusable frameworks for large-scale data processing.
• Strong DevOps, CI/CD practices and production-grade software delivery.

Responsabilidades

• Design, build and industrialize data solutions that are scalable and reliable in production.
• Operationalize data pipelines with CI/CD, monitoring, logging and observability.
• Optimize pipelines for performance, reliability and cost efficiency.
• Collaborate with multidisciplinaries stakeholders and transform prototypes into production-ready solutions.
• Ensure robust data governance and security in production environments.

Conocimientos

Python

Pandas

NumPy

ETL/ELT pipelines

CI/CD

DevOps

Cloud platforms (Azure)

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.

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