Data Engineer: Python, Pandas/NumPy, ETL & Cloud

Hcltech; Huelva; Presencial; EUR 42.000 - 64.000; Jornada completa

Descripción de la vacante

HCLTech is seeking a Data Engineer to strengthen our Spain brand presence, based in Andalucía. The ideal candidate will have extensive Python experience with Pandas and NumPy, and a strong data engineering background including ETL/ELT pipelines, ingestion, preprocessing, and production support.

You will design scalable data pipelines, develop reusable frameworks, and optimize performance with a focus on reliability and security.

Formación

• 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 mantainable ETL/ELT pipelines.
• Development of reusable frameworks and components for large-scale data processing.
• Optimization of data pipelines for performance, reliability, and operational efficiency.

Responsabilidades

• 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.

Conocimientos

Python

Pandas

NumPy

Data engineering

ETL pipelines

CI/CD

DevOps

Cloud platforms

Production support

Descripción del empleo

HCLTech is seeking a Data Engineer to strengthen our Spain brand presence, based in Andalucía. The ideal candidate will have extensive Python experience with Pandas and NumPy, and a strong data engineering background including ETL/ELT pipelines, ingestion, preprocessing, and production support.

You will design scalable data pipelines, develop reusable frameworks, and optimize performance with a focus on reliability and security.