Python, Pandas y Numpy Developer

HCLTech; España; A distancia; EUR 40.000 - 66.000; Jornada completa

Descripción de la vacante

HCLTech is seeking a Data Engineer to strengthen our data capabilities in Spain. You will own end-to-end data pipelines, develop robust ETL/ELT processes, and implement scalable, observable production services.

You will work with cross-functional teams to transform prototypes into production-ready solutions and ensure reliability in cloud-based environments. The ideal candidate has deep Python expertise, experience with Pandas/NumPy, and a strong background in data ingestion, transformation, and

Formación

• Extensive hands-on experience developing enterprise-grade solutions in Python, with advanced expertise in Pandas and NumPy.
• Strong background in data engineering, including 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 with large production datasets and production-ready deployment.
• Strong DevOps understanding and CI/CD pipelines.

Responsabilidades

• Design, build and maintain scalable ETL/ELT pipelines for enterprise data.
• Develop reusable data processing frameworks and components for large-scale workloads.
• Monitor, log, alert and observe production services to ensure reliability.
• Collaborate with multidisciplinary teams and stakeholders to deliver end-to-end solutions.
• Transform analytical prototypes into production-ready deployments.
• Support and troubleshoot applications in production environments.

Conocimientos

Python

Pandas

NumPy

Data engineering

ETL/ELT pipelines

CI/CD

Cloud platforms (Azure)

Monitoring/Observability

Production support

Stakeholder management

Herramientas

Azure

Git

Descripción del empleo

Our goal is to strengthen the brand in Spain. We are looking for an expert to work as Data Engineer!

• 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.

About HCLTech:

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 225,000+ people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud. The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis.

We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be. If all this sounds like an environment you’ll thrive in, then you’re in the right place. Join us on our journey in advancing the technological world through innovation and creativity.

Why Us?

• We offer End-to-end digital transformation expertise that helps clients from strategy through execution. We work with the biggest brands, offering the opportunity to be a part of industry-leading work.
• We are invested in your growth, offering learning and career development opportunities at every level to help you find your spark.
• We offer freedom and flexibility on the job, empowering our employees to make decisions.
• We offer a virtual-first work environment, promoting a good work-life balance and real flexibility Our company is extremely diverse with representation of 165 nationalities.
• We offer the opportunity to work with colleagues across the globe.
• We are a certified great place to work and a top employer in 25 countries including Romania, offering a positive work environment that values employee recognition and respect.

If you have a valid disability certificate, Certificate of Disability in Force, please contact us.

Among HCL's principles we would like to highlight diversity and inclusion as a strength in our values and practices. To achieve all our objectives, it intends to attract, develop, and retain different profiles, assuming diversity as a key factor and differentiator of fundamental innovation in our organization. We welcome and value all people, and we are committed to the inclusion and sense of belonging of each person who is part of HCL.

HCL is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.