Expert Python, Pandas & NumPy Developer for Data Engineering Roles in Spain

Further Details

Join HCLTech as a Data Engineer in Aragón, Spain, utilizing your expertise in Python, Pandas, and NumPy to build advanced data solutions. This role is critical for strengthening the company's presence in Spain through sophisticated data engineering practices. You will focus on creating resilient ETL/ELT pipelines and optimizing large-scale data processing frameworks. The position requires a proactive approach to software engineering, emphasizing clean code, rigorous testing, and efficient collaboration. Responsibilities include transforming analytical concepts into deployable solutions and managing CI/CD pipelines for automated workflows. Experience with cloud environments like Azure is highly valued for this role. This is a chance to be part of a dynamic, diverse, and inclusive global team at HCLTech, a company dedicated to supercharging progress through digital, engineering, and cloud capabilities. Embrace opportunities for continuous learning and career advancement while contributing to cutting-edge technological projects.

Expert Python, Pandas & NumPy Developer for Data Engineering Roles in Spain

HCLTech is actively seeking a talented Data Engineer for a key position based in Aragón, Spain. This role offers a fantastic opportunity to contribute to a leading global technology firm, focusing on advanced data engineering practices. If you possess deep expertise in Python, along with strong proficiency in Pandas and NumPy libraries, this role is designed for you. You'll be instrumental in developing and enhancing enterprise-grade data solutions, managing the full lifecycle of data processing from ingestion to transformation.

This is more than just a development role; it's a chance to shape how data is leveraged for business impact. We are looking for individuals who excel in designing and implementing robust ETL/ELT pipelines, optimizing performance, and ensuring data integrity. A solid understanding of software engineering principles and a knack for transforming analytical concepts into production-ready applications are highly valued. The position also requires a good grasp of DevOps methodologies and the ability to manage automated deployment workflows.

Join a company that champions innovation, diversity, and employee growth. HCLTech provides a dynamic and inclusive work environment where you can advance your career, collaborate with global teams, and work on cutting-edge projects. We are committed to fostering a culture that supports continuous learning and offers significant opportunities for professional development. If you are ready to take on challenging data engineering tasks and drive technological advancement, we encourage you to apply.

Key Highlights:

• Job Title: Data Engineer (Python, Pandas, NumPy Developer)
• Location: Aragón, Spain
• Company: HCLTech
• Core Responsibilities: Data pipeline design, development, optimization, and production support
• Required Expertise: Python, Pandas, NumPy, ETL/ELT, DevOps, CI/CD
• Desired Skills: Cloud platforms (Azure), stakeholder management
• Career Growth: Opportunities for learning and professional development
• Work Environment: Diverse, inclusive, and collaborative global team

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 by developing and implementing advanced data solutions
• Design and implement scalable and maintainable ETL/ELT pipelines
• Develop reusable frameworks and components for large-scale data processing
• Optimize data pipelines for performance, reliability, and operational efficiency
• Apply software engineering best practices to ensure code quality and modularity
• Transform analytical prototypes into production-ready solutions
• Manage CI/CD pipelines for automated build, test, deployment, and release processes
• 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 effectively with multidisciplinary teams and stakeholders
• Ensure solutions are scalable, robust, secure, and operationally excellent

How to apply

Interested candidates are invited to submit their applications for the Data Engineer role with HCLTech in Aragón, Spain. Please follow the steps below to ensure your application is processed correctly:

• Step 1: Review Job Details Ensure you meet all the required skills and qualifications outlined in the job description, including extensive experience with Python, Pandas, NumPy, and data engineering principles.
• Step 2: Access Application Portal Visit the official HCLTech careers portal or the provided application link to initiate your application process.
• Step 3: Complete Application Form Fill out the online application form accurately and completely. This typically includes personal details, educational background, and professional experience.
• Step 4: Upload Documents Prepare and upload essential documents such as your updated Curriculum Vitae (CV), relevant certificates, and any other supporting documents requested.
• Step 5: Submit Application Review all submitted information for accuracy before finalizing your application. Ensure you submit before the closing date.
• Application Deadline: December 18, 2026
• Job Reference: 811052354026602496032464
• Important Note: This role requires an EU work permit. HCLTech values diversity and inclusion and encourages all qualified candidates to apply.