Expert Data Engineer - Python, Pandas, NumPy - Spain

Further Details

Seeking an expert Data Engineer to drive innovation at HCLTech in Spain, focusing on developing advanced data solutions. This role demands extensive experience with Python, Pandas, and NumPy for enterprise-level data processing and pipeline development. You will be involved in end-to-end data lifecycle management, from preprocessing to enrichment, within a dynamic tech environment. The position emphasizes transforming data prototypes into production systems, incorporating software engineering best practices and CI/CD pipelines. A strong understanding of cloud platforms like Azure and a results-oriented approach to ensure scalability and operational excellence are crucial. This is an opportunity to contribute to a globally recognized company committed to diversity and employee growth.

Data Engineering Opportunities with HCLTech in Spain

HCLTech, a global leader in digital, engineering, and cloud solutions, is actively seeking a skilled Data Engineer to join their dynamic team in Andalucía, Spain. This is an exceptional opportunity to contribute to the company's expanding presence in the Spanish market by developing cutting-edge data solutions.

The ideal candidate will possess advanced expertise in Python, with a strong command of Pandas and NumPy libraries, essential for building scalable and maintainable ETL/ELT pipelines. You will play a key role in the entire data lifecycle, from ingestion and preprocessing to transformation and enrichment, ensuring high-quality data for critical business decisions. This position represents excellent HCLTech jobs Andalucía in the region. This position demands a proactive approach to transforming analytical prototypes into robust, production-ready applications, adhering to stringent software engineering best practices.

• Job Title: Data Engineer
• Location: Andalucía, Spain
• Company: HCLTech
• Key Skills: Python, Pandas, NumPy, Data Engineering, ETL/ELT, DevOps, Cloud Platforms (Azure)
• Responsibilities: Pipeline development, data processing optimization, production support, stakeholder collaboration
• Experience: Extensive hands-on experience required
• Application Deadline: December 18, 2026

Additionally, latest jobs are available for qualified candidates.

Skills

• Extensive hands-on experience developing enterprise-grade solutions in Python
• 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

Duties and Responsibilities:

• Strengthen the brand in Spain through expert data engineering solutions
• Develop enterprise-grade solutions using Python, Pandas, and NumPy
• Design, implement, and optimize scalable ETL/ELT data pipelines
• Transform analytical prototypes into production-ready, robust systems
• Apply software engineering best practices and DevOps principles
• Manage CI/CD pipelines for automated builds, testing, and deployments
• Implement monitoring, logging, and alerting for production services
• Support and troubleshoot applications in production environments
• Collaborate effectively with multidisciplinary teams and stakeholders

How to apply

• Step 1: Visit the Application Portal Navigate to the official eurojobs.com platform and locate the job listing for the Data Engineer role.
• Step 2: Review Job Details Thoroughly read the job description, required qualifications, and responsibilities to ensure suitability.
• Step 3: Initiate Application Click on the designated 'Apply Now' or similar button to commence the application process.
• Step 4: Complete Application Form Fill out the online application form accurately with your personal details, work experience, and qualifications.
• Step 5: Upload Required Documents Prepare and upload your updated Curriculum Vitae (CV) and any other pertinent documents as requested by the application system.
• Step 6: Submit Application Finalize and submit your application before the closing date of December 18, 2026.
• Note: EU work permit is required for this position.