Data Engineer (Azure Platform)

HCLTech is a global technology company, home to more than 227,000 people across 60 countries, delivering industry-leading capabilities centered around AI, digital, engineering, cloud and software, 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 & Services, Semiconductor, Telecom and Media, Retail and CPG, Mobility and Public Services. Consolidated revenues as of 12 months ending March 2026 totaled $14.7B.

Data Engineer (Azure Platform) - (hybrid from Wroclaw, Poland)

Overview of the Role:

As a Data Engineer specializing in the Azure platform, you will play a pivotal role in designing, building, and maintaining scalable data solutions that empower business intelligence, advanced analytics, and decision-making across the organization. Your expertise will be instrumental in leveraging cloud-based technologies to optimize data pipelines, ensure data integrity, and support the company’s ambition to be at the forefront of digital innovation for its clients.

Detailed Responsibilities:

• Develop, construct, test, and maintain highly scalable data pipelines on Microsoft Azure.
• Design and implement data integration, migration, and transformation solutions from multiple data sources.
• Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders to understand requirements and deliver data-driven solutions.
• Optimize and troubleshoot data workflows for performance, reliability, and scalability.
• Ensure data quality, security, and compliance with organizational and regulatory standards.
• Document data engineering processes, architecture, and best practices.
• Participate in code reviews and contribute to the continuous improvement of the data platform.
• Stay updated with the latest trends and advancements in Azure data services and related technologies.

Skill Requirements:

• Proven hands-on experience in data engineering, with a strong focus on Microsoft Azure data services (Azure Data Factory, Azure Databricks, Azure SQL, etc.).
• Advanced proficiency in SQL for data extraction, manipulation, and analysis.
• Solid understanding of ETL/ELT processes and data warehouse concepts.
• Bachelor’s degree or higher in Computer Science, Information Technology, Engineering, or a related field.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.
• Excellent communication and collaboration skills.

Other Requirements:

• Experience with big data technologies (e.g., Hadoop, Spark, Synapse Analytics) is a plus.
• Familiarity with DevOps practices and tools for data engineering.
• Relevant certifications such as Microsoft Certified: Azure Data Engineer Associate are advantageous.
• Knowledge of Python, Scala, or other programming languages commonly used in data engineering.

At HCLTech, you will have access to world-class learning and development programs, including certification sponsorships, leadership training, and mentorship initiatives. As part of our commitment to career progression, Data Engineers can advance to senior engineering roles, technical architect positions, or move into data science and analytics leadership tracks. You will have the opportunity to work on cutting-edge projects for global clients, expand your skills across various domains, and make a tangible impact within a dynamic, innovation-driven organization.