Senior Data Engineer

Role Overview

We are seeking a highly skilled and experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. This role focuses on delivering efficient data solutions, enabling analytics, and supporting business intelligence initiatives in a dynamic technology environment.

What You Will Do

Design, develop, and maintain robust ETL pipelines for data integration and transformation, build and manage scalable data architectures using modern data platforms, and work with large datasets to ensure data quality, consistency, and reliability.

Why It Might Be a Fit

Strong hands-on experience in ETL processes and data pipeline development, expertise in Snowflake or Azure Data Factory is essential, and experience working in cloud-based data environments is an advantage.

Requirements

• Bachelor’s Degree in Computer Science, IT, Engineering, or a related field
• Minimum 4.5+ years of experience in Data Engineering
• Strong hands-on experience in ETL processes and data pipeline development
• Expertise in Snowflake or Azure Data Factory is essential
• Strictly data engineering-focused experience (profiles focused on Data Science or BI will not be considered)
• Experience working in cloud-based data environments is an advantage