Azure Data Engineer: Scalable Cloud Pipelines (Hybrid Wroclaw)

HCL Technologies Limited; Wrocław; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Certification sponsorships

Leadership training

Mentorship initiatives

Job summary

HCLTech in Wroclaw, Poland is hiring a Data Engineer (Azure Platform) for a hybrid role. You will design, build, and maintain scalable data pipelines on Microsoft Azure, enabling BI, analytics, and informed decision-making across the organization.

You will collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions, while ensuring data quality, security, and compliance in a fast-paced, innovation-driven environment.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• Strong SQL skills and ETL/ELT experience.
• Experience with Azure data services and data pipelines.
• Ability to work with data scientists, analysts, and stakeholders.
• Excellent communication and collaboration skills.

Responsibilities

• Develop, construct, test, and maintain scalable data pipelines on Microsoft Azure.
• Design and implement data integration, migration, and transformation solutions.
• Collaborate with cross-functional teams to understand requirements and deliver data-driven solutions.
• Optimize and troubleshoot data workflows for performance and reliability.
• Ensure data quality, security, and regulatory compliance.

Skills

Azure data services

SQL

ETL/ELT

Problem solving

Communication

Education

Bachelor's degree in CS/IT/Engineering

Tools

Azure Data Factory

Azure Databricks

Azure SQL

Hadoop

Spark

Synapse Analytics

Python

Scala

DevOps tools

Azure Data Engineer Associate

Job description

HCLTech in Wroclaw, Poland is hiring a Data Engineer (Azure Platform) for a hybrid role. You will design, build, and maintain scalable data pipelines on Microsoft Azure, enabling BI, analytics, and informed decision-making across the organization.

You will collaborate with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions, while ensuring data quality, security, and compliance in a fast-paced, innovation-driven environment.