Senior Data Engineer, Python, Inglés

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 13%

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Devoteam

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Devoteam is a multinational technology consulting company that specializes in delivering innovative solutions in areas such as Artificial Intelligence, Cloud Managed Services, and Cybersecurity. With a focus on business transformation, Devoteam helps organizations optimize their IT infrastructure and migrate to cloud-native architectures. They partner with leading technology providers like AWS, Google Cloud, and Microsoft to drive digital transformation and sustainable IT practices across various industries.

📋 Description

• Design, build, and industrialize scalable data solutions • Develop enterprise-grade Python solutions using Pandas and NumPy • Ingest, preprocess, cleanse, transform, validate, and enrich data • Design, implement, maintain, and optimize ETL/ELT pipelines • Develop reusable frameworks and components for large-scale data processing • Apply clean code, modular design, testing, and code review practices • Transform analytical prototypes into production-ready solutions • Design and maintain CI/CD pipelines for automated build, testing, deployment, and release • Create and manage Python deployment artifacts, packages, and libraries • Implement monitoring, logging, alerting, and observability for production services • Support and troubleshoot applications in production environments • Take solutions end-to-end through development, industrialization, deployment, and ongoing support • Collaborate with stakeholders and multidisciplinary teams using Agile methodology

🎯 Requirements

• 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 • Inglés muy alto; reuniones en inglés a diario

🏖️ Benefits

• Retribución flexible • % sobre objetivos • Plataforma de formación online • Certificaciones • 12 pagas