Graduate Data Engineer

Location:

(Remote)

Employment Type:

Full-Time

Experience:

0–1 Year

About The Role

We are looking for a motivated Graduate Data Engineer to join our growing Data \& Analytics team. This role is ideal for recent graduates who are passionate about data, technology, and building scalable data solutions.

As a Graduate Data Engineer, you will work alongside experienced data professionals to develop, maintain, and optimize data pipelines that support business intelligence, analytics, and reporting initiatives. This position offers hands-on exposure to modern cloud-based data platforms and large-scale data processing environments.

Key Responsibilities

• Assist in building and maintaining data pipelines and ETL processes.
• Support data integration from multiple sources into centralized data platforms.
• Monitor data quality and troubleshoot data-related issues.
• Work with structured and unstructured datasets.
• Collaborate with Data Analysts, Data Scientists, and Engineering teams.
• Assist in database maintenance, optimization, and performance monitoring.
• Support the development of data warehousing solutions.
• Create and maintain technical documentation.
• Ensure data security and governance standards are followed.

Required Skills \& Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
• Basic knowledge of SQL and database concepts.
• Familiarity with Python or another programming language.
• Understanding of data structures and ETL concepts.
• Strong analytical and problem-solving skills.
• Good communication and teamwork abilities.
• Eagerness to learn modern data technologies and cloud platforms.

Preferred Skills

• Exposure to Power BI, Tableau, or reporting tools.
• Familiarity with Azure, AWS, or Google Cloud.
• Knowledge of data warehousing concepts.
• Academic projects involving data engineering or analytics.
• Understanding of Git and version control.

Benefits

• Structured graduate training and mentorship.
• Hybrid and flexible working options.
• Professional certification support.
• Career progression into Data Engineering, Analytics Engineering, or Cloud Data roles.
• Competitive salary and benefits package.

Skills: platforms,data,cloud,data engineering,database,building,analytics