Job Description

Job Summary

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

Key Responsibilities

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

Skill Requirements

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

Other Requirements

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

About HCLTech – Hungary

HCLTech is a global technology company, home to more than 226,600 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.

Industry

IT & Software

Company Size

51-200 employees

Headquarters

Budapest, HU

Year Founded

2006

Website

hcltech.com

Social Media

Senior Developer

Job Description

Job Summary

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

Key Responsibilities

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

Skill Requirements

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

Other Requirements

A Data Engineer designs, builds, and maintains scalable data pipelines and architectures—using tools like SQL, Python, Spark, Airflow, and cloud platforms (AWS, Azure, GCP)—to ensure data is reliable, accessible, and ready for analytics and AI.

About HCLTech – Hungary