Senior Python Data Engineer - Canary Islands, Spain | HCLTech

Further Details

This role seeks a talented Data Engineer with significant experience in Python, Pandas, and NumPy, based in the Canary Islands, Spain. The position is with HCLTech, a leading global technology company, focusing on building robust data pipelines and ensuring operational excellence. Key responsibilities include transforming analytical prototypes into production-ready solutions and implementing DevOps principles. Applicants will leverage their expertise in data ingestion, preprocessing, and transformation to create efficient ETL/ELT processes. Successful candidates will benefit from these Latest HCLTech careers. The position emphasizes a results-oriented mindset geared towards scalability, robustness, and security, with a proven ability to manage solutions from development through industrialization and ongoing support. Familiarity with cloud platforms like Azure is a significant advantage.

Senior Python Data Engineer Opportunities in Spain

HCLTech is expanding its presence in Spain and is actively recruiting for a dedicated Senior Python Data Engineer to be based in the beautiful Canary Islands. This pivotal role offers the chance to contribute to cutting-edge data solutions and drive technological advancements for a global leader. The company champions diversity and inclusion, fostering an environment where every employee can thrive and find their spark.

This position is ideal for professionals seeking to work with complex datasets, optimize data pipelines, and embrace DevOps principles in a dynamic, international setting. HCLTech is committed to employee growth, providing ample learning and career development opportunities. Additionally, HCLTech jobs in Canary Islands are available for qualified candidates. They offer a virtual-first work environment that promotes a healthy work-life balance and empowers employees with autonomy and flexibility.

• Job Title: Senior Python Data Engineer
• Location: Canary Islands, Spain
• Employer: HCLTech
• Key Skills: Python, Pandas, NumPy, Data Engineering, ETL/ELT, DevOps, Cloud Platforms (Azure)
• Experience: Extensive hands-on experience required
• Application Deadline: December 18, 2026

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

• 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.