Data Engineer at HCLTech Aragón
Career opportunity at HCLTech located in Aragón 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: | Aragón |
| Country of Appointment: | Spain |
| Employer Department: | JR Spain Client |
| Employer Address: | Spain |
Further Details
HCLTech is now recruiting in Aragón. 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 Aragón.
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 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
How to Apply for Data Engineer:
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.
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