Data Engineer - Python, Pandas, NumPy Expertise

Further Details

This Data Engineer position with HCLTech in Catalonia, Spain, requires extensive experience in Python, Pandas, and NumPy for developing enterprise-level data solutions. The role involves designing and implementing scalable ETL/ELT pipelines and applying software engineering best practices. Successful candidates will transform prototypes into production-ready systems, manage CI/CD pipelines, and ensure robust monitoring and logging. We are looking for a results-oriented individual with a strong understanding of DevOps and cloud environments, particularly Azure. The ability to manage stakeholders and work collaboratively within diverse teams is crucial. This is an opportunity to contribute to a leading global tech company at the forefront of digital, engineering, and cloud innovation, offering significant career development and a flexible, diverse work environment.

Data Engineer Opportunities with HCLTech in Spain

HCLTech, a global leader in digital, engineering, and cloud services, is expanding its operations in Spain and is actively seeking a talented Data Engineer. This exciting career opportunity is based in the vibrant region of Catalunya, Spain, offering a chance to contribute to cutting-edge technological advancements.

The ideal candidate will possess advanced expertise in Python, Pandas, and NumPy, with a proven track record in data engineering. This role is pivotal in designing, developing, and optimizing scalable data pipelines and ETL/ELT processes. You will be instrumental in transforming analytical prototypes into robust, production-ready solutions, adhering strictly to software engineering best practices and DevOps principles.

• Job Title: Data Engineer
• Location: Catalunya, Spain
• Company: HCLTech
• Key Skills: Python, Pandas, NumPy, Data Engineering, ETL/ELT, DevOps, Cloud Platforms (Azure)
• Experience: Extensive experience in developing enterprise-grade data solutions
• Qualifications: Bachelor's degree, with a preference for postgraduate studies
• 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 (ingestion, preprocessing, cleansing, transformation, validation, 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 (clean code, modular design, testing, 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
• Experience creating and managing Python deployment artifacts, packages, and libraries
• Implementation of monitoring, logging, alerting, and observability capabilities
• 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

Duties and Responsibilities:

• Develop and maintain enterprise-grade solutions using Python, Pandas, and NumPy
• Ingest, preprocess, cleanse, and transform large datasets
• Design and implement scalable ETL/ELT pipelines
• Optimize data pipelines for performance and reliability
• Apply software engineering best practices throughout the development lifecycle
• Transform analytical prototypes into production-ready systems
• Design and maintain CI/CD pipelines for automated deployments
• Implement monitoring, logging, and alerting for production services
• Support and troubleshoot applications in production environments
• Collaborate with multidisciplinary teams and manage stakeholder expectations

How to apply

• 💼 Prepare Your Application: Compile your most up-to-date Curriculum Vitae (CV) highlighting your experience with Python, Pandas, NumPy, and data engineering practices. Ensure your CV details your achievements in developing enterprise-grade solutions and optimizing data pipelines.
• 🎓 Gather Supporting Documents: Include any relevant academic certificates or professional training documentation that validates your qualifications.
• 🔎 Review Eligibility: Confirm that you meet the specified requirements, particularly regarding your Python, Pandas, and NumPy development skills and your understanding of data engineering principles. A strong grasp of DevOps and cloud platforms like Azure is highly beneficial.
• Apply Online: Navigate to the official Eurojobs application portal to submit your candidacy. Additionally, employment are available for qualified candidates. Follow the on-screen instructions to upload your CV and any other required documents.
• 👉 Submit Your Application Here
• 📅 Application Deadline: Ensure your application is submitted no later than 18 December 2026. Applications received after this date may not be considered.
• 📌 Important Note: HCLTech values diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.