Data Engineer at HCLTech Navarra
Career opportunity at HCLTech located in Navarra for the position of Data Engineer.
This employment notice was announced on 03 November, 2026 through eurojobs.
com.
Candidates possessing a Bachelor degree are encouraged to submit their application.
Interested individuals should apply directly to HCLTech for these vacancies in the Data Engineering division.
The estimated application deadline is 18 December, 2026, but please verify the exact date in the official advertisement.
To understand the application process and explore other job openings at HCLTech, visit the official source or see more details on https://www.
jobseed.
pk.
| Jobs Date Posted: | 03 November, 2026 |
| Jobs Last Date to Apply: | 18 December, 2026 |
| Industry: | Information Technology and Services |
| Jobs Industry Type: | Private |
| Job Hiring Organization: | HCLTech |
| Occupational Category: | Data Engineering |
| Education Requirements | Bachelor Degree |
| Employment Type: | full-time |
| Advertisement Source: | eurojobs.com |
| Job Location: | Navarra |
| Country of Appointment: | USA |
Further Details
HCLTech is now recruiting in Navarra. Apply for the position of Data Engineer. The required qualification is Bachelor. This role is within the Information Technology and Services industry. A bachelor degree is preferred. The application process commenced on 03 November, 2026 via eurojobs.com. Interested and eligible candidates must submit their applications before the deadline on 18 December, 2026. This is a prime opportunity to join a renowned organization. For a step-by-step application guide and full eligibility criteria, please see the official advertisement on https://www.jobseed.pk.
Data Engineer at HCLTech
We have an immediate opening for the post of Data Engineer. The job location is Navarra.
Key Requirements:
- Qualification: Bachelor
- Vacancies: 1
This is a fantastic chance to work with a reputed organization and grow professionally.
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
How to Apply for Data Engineer:
- 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.
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