Data Engineer Intern (Platform Enhancement)

Description

• Data Pipelines – Improve reliability, scalability, and efficiency of data ingestion, transformation, and integration processes.
• Monitoring & Governance – Assist in strengthening platform monitoring, security, and compliance practices. This may include enhancing logging and alerting, improving reporting or dashboard features to make insights more accessible, and supporting governance activities such as reviewing access controls and ensuring compliance with data policies.
• Improve collaboration and communication skills through working with cross-functional teams and presenting findings or enhancements clearly.
• Develop an understanding of security, compliance, and data governance considerations within a government-grade data environment.
• Automation & Testing – Assist with implementing automation for workflows, testing, and monitoring to reduce manual effort and improve resilience.
• Strengthen problem-solving skills by identifying areas for platform improvement and contributing to a prioritized product backlog.
• Build technical skills in cloud-based platforms (e.g., Databricks, Azure) for data engineering, analytics, and operational improvements.
• Backlog & Documentation – Help review the current platform setup, identify gaps, and maintain a product backlog of improvements, supported by proper documentation.

Requirements

• Students pursuing Computer Science / Information Technology, or relevant studies
• Gain hands-on experience in enhancing a large-scale data platform, including improving data pipelines, monitoring, and governance practices.
• Familiarity with SQL, Python, Git
• Knowledge in Azure Cloud (e.g. Azure Data Factory, Azure Databricks) is an added advantage

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance