Advanced Data Engineer with Python, Pandas, and NumPy Expertise in Spain

Further Details

HCLTech is seeking a skilled Data Engineer to join their team in Navarra, Spain, focusing on advanced Python development with Pandas and NumPy. This private sector role involves designing and implementing robust data pipelines, ensuring data quality, and optimizing performance. The position requires a deep understanding of data engineering principles and software development lifecycle. This is an excellent opportunity for professionals passionate about transforming analytical prototypes into production-ready solutions within a diverse and inclusive global company. You will contribute to CI/CD pipelines, implement monitoring and logging, and collaborate with multidisciplinary teams. As a Data Engineer, you will be empowered to make decisions and contribute to industry-leading projects. HCLTech is dedicated to employee growth, offering comprehensive career development and a supportive virtual work environment that promotes work-life balance.

Data Engineer Opportunities in Spain with HCLTech

HCLTech is actively recruiting for a skilled Data Engineer to join their dynamic team in Navarra, Spain. This is a prime opportunity for individuals with advanced expertise in Python, specifically utilizing libraries like Pandas and NumPy, to contribute to cutting-edge data engineering projects within the private sector. The role emphasizes the design, development, and optimization of robust ETL/ELT pipelines, ensuring high data quality and efficient processing from ingestion to transformation.

Successful candidates will be adept at applying software engineering best practices, including a strong understanding of DevOps principles and the full software delivery lifecycle. Responsibilities extend to transforming analytical concepts into production-ready solutions and maintaining CI/CD pipelines for automated deployments. Experience with cloud platforms and a results-oriented mindset focused on scalability and operational excellence are crucial.

• Job Title: Data Engineer
• Location: Navarra, Spain
• Company: HCLTech
• Key Technologies: Python, Pandas, NumPy, ETL/ELT, CI/CD, Cloud Platforms (Azure)
• Required Skills: Advanced Python, Data Engineering, DevOps, Stakeholder Management
• Application Deadline: 18 December 2026

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 contributions
• Develop enterprise-grade solutions leveraging Python, Pandas, and NumPy
• Design and implement scalable and maintainable ETL/ELT pipelines
• Ensure data ingestion, preprocessing, cleansing, transformation, validation, and enrichment
• Develop reusable frameworks and components for large-scale data processing
• Optimize data pipelines for enhanced performance, reliability, and operational efficiency
• Apply software engineering best practices in daily work
• Transform analytical prototypes into production-ready solutions
• Contribute to CI/CD pipelines for automated build, test, 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
• Collaborate with multidisciplinary teams and manage stakeholder expectations
• Take solutions end-to-end, from development through industrialization and support

How to apply

• Explore the Opportunity: Visit the official eurojobs.com page for job reference 8110523540266024960324633 to learn more about this exciting Data Engineer role with HCLTech in Navarra, Spain.
• Prepare Your Application: Ensure your CV and any supporting documents clearly highlight your extensive experience with Python, Pandas, NumPy, data engineering principles, and DevOps practices.
• Submit Your Application: Click on the 'Apply' button directly on the eurojobs.com listing to be redirected to the application portal.
• Review Application Details: Complete the online application form accurately and submit it before the closing date of 18 December 2026.
• EU Work Permit: Candidates requiring an EU work permit should note that this listing does not explicitly state it is provided. Please verify requirements during the application process.
• Stay Updated: Keep an eye on your email for any communication from HCLTech or their recruitment partners regarding the status of your application.

Explore these career opportunities with competitive benefits.