Experienced Python, Pandas, and NumPy Developer for HCLTech in Euskadi, Spain
HCLTech, a global leader in digital transformation, is seeking a skilled Python Developer to join their team in Euskadi, Spain.
This role focuses on building robust enterprise-grade data solutions.
Leverage your expertise in Pandas and NumPy for advanced data processing and pipeline development.
This is an excellent opportunity for a results-oriented professional to contribute to cutting-edge projects.
Candidates should possess a strong foundation in data engineering principles, including ingestion, cleansing, and transformation.
The position requires hands-on experience in designing and implementing scalable ETL/ELT pipelines, alongside applying software engineering best practices for maintainable and efficient code.
Experience transforming analytical prototypes into production-ready systems is crucial for this role.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Information Technology and Services |
| Jobs Industry Type: | Overseas |
| Job Hiring Organization: | HCLTech |
| Occupational Category: | Data Engineering |
| Employment Type: | full-time |
| Advertisement Source: | Website |
| Job Location: | Euskadi |
| Country of Appointment: | USA |
| Street Address: | Euskadi |
Further Details
This Python Developer position at HCLTech, a prominent global technology firm, offers a unique opportunity to excel in data engineering within Euskadi, Spain. Explore these Latest Information Technology and Services careers with competitive benefits. The role demands advanced proficiency in Python, particularly with libraries like Pandas and NumPy, for sophisticated data manipulation and pipeline creation. Candidates will be instrumental in developing reusable frameworks and optimizing data processing for large-scale applications. The ideal applicant will demonstrate a solid understanding of software delivery lifecycles and DevOps principles, including CI/CD pipeline management. Familiarity with cloud platforms such as Azure, coupled with strong stakeholder management skills, is highly valued. Explore these Python Developer vacancies Euskadi with competitive benefits. HCLTech is committed to fostering innovation and diversity, providing a dynamic environment for career growth and development.
Senior Python Data Engineer - Euskadi, Spain
HCLTech is a rapidly expanding global technology leader, recognized for its comprehensive digital, engineering, and cloud capabilities. We are currently seeking a talented Senior Python Developer with advanced expertise in Pandas and NumPy to join our dynamic team in Euskadi, Spain. This pivotal role involves developing and industrializing enterprise-grade data solutions, contributing significantly to our brand's growth in the Spanish market.
Ideal candidates will possess extensive hands-on experience in data engineering, encompassing data ingestion, preprocessing, cleansing, transformation, validation, and enrichment. Additionally, HCLTech jobs in Euskadi are available for qualified candidates. The role requires a proven track record of designing and implementing scalable ETL/ELT pipelines, along with a strong commitment to applying software engineering best practices for robust and maintainable code. If you are a results-oriented professional passionate about building cutting-edge data processing systems and driving end-to-end solutions, this opportunity is for you.
- Job Title: Senior Python, Pandas y Numpy Developer
- Location: Euskadi, Spain
- Company: HCLTech
- Key Skills: Python, Pandas, NumPy, Data Engineering, ETL/ELT, DevOps, Cloud (Azure)
- Experience: Extensive hands-on experience required
- Deadline: 18 December 2026
Skills
- Advanced expertise in Python
- Extensive hands-on experience with Pandas
- Strong NumPy skills
- Proficiency in data ingestion and preprocessing
- Experience in ETL/ELT pipeline design and implementation
- Ability to develop reusable frameworks
- Optimization of data pipelines
- Application of software engineering best practices
- Experience with large and complex datasets
- Ability to transform analytical prototypes into production-ready solutions
- Strong understanding of DevOps principles
- Familiarity with CI/CD pipelines
- Experience creating and managing Python deployment artifacts
- Implementation of monitoring, logging, and alerting
- Experience supporting and troubleshooting applications
- Familiarity with cloud platforms (Azure)
- Strong stakeholder management skills
- Results-oriented mindset
Duties and Responsibilities:
- Develop enterprise-grade solutions in Python
- Ingest, preprocess, cleanse, transform, validate, and enrich data
- 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 including clean code, modular design, testing, and code reviews
- 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 capabilities for production services
- Support and troubleshoot applications in production environments
- Collaborate with multidisciplinary teams
- Take solutions end-to-end from development through industrialization, deployment, and ongoing support
How to apply
- Explore the Opportunity: Review the detailed job description and requirements for the Senior Python, Pandas, and NumPy Developer position at HCLTech.
- Prepare Your Application: Ensure your CV and any supporting documents highlight your extensive experience in Python, Pandas, NumPy, data engineering, and DevOps principles.
- Submit Your Application: Visit the provided link to submit your application for this exciting role in Euskadi, Spain.
- Application Link: Click on the "Apply Now" button or follow the designated application URL.
- Deadline: Please ensure your application is submitted by the closing date of 18 December 2026.
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