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Data Engineer at HCLTech Canary Islands

Career opportunity at HCLTech located in Canary Islands 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.

Private
Bachelor Degree
full-time
USA

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: Canary
Country of Appointment: USA
🎓 Qualifications Required

Further Details

HCLTech is now recruiting in Canary. 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 Canary Islands.

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 libraries
  • Strong background in data engineering principles including ingestion, preprocessing, cleansing, transformation, validation, and enrichment
  • Ability to design and implement scalable and maintainable ETL/ELT pipelines
  • Experience developing reusable frameworks and components for large-scale data processing
  • Proficiency in optimizing 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
  • Experience designing and maintaining 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 such as Azure 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:

  • Develop and maintain enterprise-grade solutions using Python, Pandas, and NumPy
  • Ingest, preprocess, cleanse, transform, validate, and enrich data effectively
  • Design and implement scalable and maintainable ETL/ELT pipelines
  • 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 all development activities
  • Transform analytical prototypes into production-ready solutions
  • Implement and manage CI/CD pipelines for automated software delivery
  • Create and manage Python deployment artifacts, packages, and libraries
  • Implement monitoring, logging, alerting, and observability for production services
  • Support and troubleshoot applications deployed in production environments
  • Collaborate with multidisciplinary teams and manage stakeholder expectations
  • Ensure solutions are scalable, robust, secure, and operationally excellent
  • Manage the end-to-end lifecycle of data solutions, from development to production support

How to apply

How to Apply for Data Engineer:

  • Job Title: Senior Python Data Engineer
  • Location: Canary Islands, Spain
  • Employer: HCLTech
  • Reference Number: 8110523540266024960324614
  • Application Closing Date: 18 December, 2026
  • Work Permit: EU work permit is required for this role.

Interested candidates are encouraged to apply through the designated online portal to be considered for this exciting opportunity. Please ensure all relevant documentation and information are accurately provided during the application process.

To Apply:

  • Visit the application link provided: https://eurojobs.com/jobs/36961277/apply
  • Complete the online application form with your personal details and professional experience.
  • Upload your most recent CV and any supporting documents that highlight your qualifications and relevant experience.
  • Ensure you meet all the specified requirements before submitting your application.

Important Notes:

  • HCLTech is an equal opportunity employer committed to diversity and inclusion.
  • All qualified applicants will receive consideration for employment without regard to protected characteristics.
  • If you possess a valid disability certificate, please contact the employer directly for accommodation.
Additionally, vacancies are available for qualified candidates.


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