Junior Data Engineer - #2625291

Junior Data Engineer – Role Description & Qualifications

The Junior Data Engineer is responsible for supporting the development, maintenance, and optimization of data systems that enable efficient data processing and accessibility across the organization. This role focuses on assisting with data pipeline development, data integration, and infrastructure support to ensure reliable and scalable data operations.

Key responsibilities include preparing and transforming datasets, supporting ETL (Extract, Transform, Load) processes, and maintaining data workflows across multiple platforms. The engineer assists in monitoring data quality, resolving data inconsistencies, and ensuring that information is accurate, organized, and accessible for reporting and analytics purposes. The role also involves collaborating with analysts and technical teams to improve data reliability and system performance.

A core aspect of the role is supporting structured and scalable data architecture that enables efficient storage, processing, and movement of data. The engineer contributes to workflow automation, documentation of data processes, and continuous improvement of data infrastructure operations.

Qualifications include a foundational understanding of databases, data structures, and data processing concepts. Familiarity with SQL and basic programming or scripting knowledge is essential. Exposure to ETL concepts, cloud platforms, or data engineering tools is advantageous. Strong analytical thinking, problem-solving skills, and attention to detail are important for maintaining accurate and efficient data systems.

The ideal candidate is technically curious, detail-oriented, and eager to develop expertise in data engineering and backend data operations. Strong organizational skills, adaptability, and willingness to learn modern data technologies are essential for success in this role.

• This position is suited for individuals who are motivated to build strong technical foundations in data infrastructure while contributing to reliable, scalable, and data-driven business operations.