Introduction to the Organization

HCLTech is a global leader in technology and IT services, recognized for delivering innovative solutions that empower organizations to transform digitally. With a presence in over 50 countries and a diverse workforce exceeding 220,000 employees, HCLTech is committed to fostering a culture of innovation, collaboration, and excellence. The company has achieved industry acclaim for its client-centric approach, cutting-edge technologies, and a strong focus on sustainability and social responsibility.

Overview of the Role

As a Senior Python Data Engineer, you will play a pivotal role in architecting and delivering robust enterprise-grade data solutions that drive critical business insights and efficiencies. You will lead the development of scalable data pipelines and frameworks, ensuring data quality, reliability, and performance for mission-critical applications. Your expertise will directly impact the digital transformation journeys of our clients, supporting HCLTech’s mission to deliver operational excellence and innovation at scale.

Detailed Responsibilities

- Design, develop, and implement enterprise-grade data solutions using Python, with advanced utilization of Pandas and NumPy for large-scale data processing.
- Build, optimize, and maintain scalable ETL/ELT pipelines for data ingestion, preprocessing, cleansing, transformation, validation, and enrichment.
- Develop reusable frameworks and components to support efficient and maintainable data engineering operations.
- Optimize data pipelines for enhanced performance, reliability, and operational efficiency in production environments.
- Apply software engineering best practices, including clean code principles, modular architecture, automated testing, and thorough code reviews.




- Transform analytical prototypes into production-ready, industrialized solutions.
- Design, implement, and maintain CI/CD pipelines to automate build, test, deployment, and release processes.
- Manage Python deployment artifacts, packages, and libraries for production use.
- Implement and maintain monitoring, logging, alerting, and observability capabilities for data services.
- Provide production support, troubleshooting, and proactive resolution for deployed applications.
- Collaborate effectively with multidisciplinary teams and stakeholders to translate business requirements into technical solutions.
- Ensure solutions adhere to the highest standards of scalability, robustness, security, and operational excellence.
- Champion and contribute to Agile development methodologies.

Skill Requirements

- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Extensive hands-on experience in Python programming, with advanced expertise in data engineering libraries such as Pandas and NumPy.
- Proven track record in building and optimizing ETL/ELT pipelines for complex, large-scale datasets.
- Strong foundation in data engineering processes: ingestion, preprocessing, cleansing, transformation, validation, and enrichment.
- Deep understanding of software engineering best practices,



including DevOps principles and the software delivery lifecycle.
- Experience in designing and maintaining CI/CD pipelines for automated deployments.
- Proficiency in creating and managing Python packages and deployment artifacts in production environments.
- Familiarity with cloud platforms, particularly Azure or similar cloud environments.
- Experience with monitoring, logging, and alerting tools for production data services.
- Demonstrated ability to collaborate with multidisciplinary teams and manage stakeholder expectations effectively.
- Excellent problem-solving skills and results-oriented mindset.

Other Requirements (Optional)

- Professional certifications in cloud platforms (e.g., Azure Certified Data Engineer, AWS Data Analytics) are a plus.
- Experience with additional data engineering tools and frameworks (Spark, Airflow, Kafka, etc.) is advantageous.
- Exposure to machine learning model deployment and MLOps practices is a bonus.
- Strong verbal and written communication skills for technical documentation and stakeholder interactions.

Career Development Opportunities At HCLTech, we are committed to nurturing talent and fostering long-term career growth. You will have access to:

- Continuous learning through integral training programs, certifications, and workshops on the latest technologies and methodologies.
- Clear career progression paths and leadership development initiatives.
- Opportunities to work on cutting-edge projects for Fortune 500 clients, expanding your expertise and industry exposure.
- Internal mobility across geographies and business units, supporting your professional aspirations.
- A supportive and inclusive culture that values innovation, diversity, and work-life balance.

📌 Senior Python Data Engineer (España)
🏢 HCLTech
📍 España