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Senior Data Engineer

On-site in Spain·Added 5 days ago

HCLTech

17 open roles

Overview

Requirements

  • Have the right to work in Spain

    HCLTech doesn't mention sponsorship in the ad.

  • Work on-site in Spain

    No relocation package mentioned.

  • Have senior-level experience

    Senior-level role.

Requirements

What we're looking for

We are looking for a highly experienced Senior Data Engineer with deep expertise in Python, Pandas, and NumPy, combined with strong Data Engineering and DevOps capabilities. The successful candidate will be responsible for designing, building, and industrializing data solutions, ensuring they are scalable, reliable, and fully operationalized in production environments through modern software engineering and CI/CD practices.

The role

Senior Data Engineer (Python & Data Platforms) • Extensive hands-on experience developing enterprise-grade solutions in Python, with 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.• Agile methodology Profile Summary:We are looking for a highly experienced Senior Data Engineer with deep expertise in Python, Pandas, and NumPy, combined with strong Data Engineering and DevOps capabilities. The successful candidate will be responsible for designing, building, and industrializing data solutions, ensuring they are scalable, reliable, and fully operationalized in production environments through modern software engineering and CI/CD practices.

What you'll do

• Extensive hands-on experience developing enterprise-grade solutions in Python, with 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.• Agile methodology

Other Requirements

Python, Pandas Numpy, Data engineering DevOps

About HCLTech

HCLTech (HCL Technologies Limited) is an IT services company. Its official careers portal presents job opportunities across a wide international footprint, listing countries in the Americas, Europe, and Asia-Pacific among the locations candidates can search.

In Spain, HCLTech advertises a substantial number of open positions, including roles in Madrid. The current openings span technical support and operations, cloud and AI architecture, software engineering, identity and device management, program and project management, and sales, indicating an active delivery and commercial presence in the Spanish market.

Industry
IT Services

Good to know if you are moving

  • HCLTech's official careers portal lists Spain among the countries where candidates can search for job opportunities, alongside other European locations such as Germany, Portugal, Romania, Sweden and the United Kingdom.
  • The company currently advertises dozens of open roles in Spain, indicating an active and growing local operation.
  • Open positions in Spain include roles based in Madrid, spanning technical support and operations, cloud and AI architecture, software engineering, program management, and sales.
All open roles at HCLTech
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