Data Engineer Intern (NTH) at Save the Children

Role purpose

As a Data Engineer Intern, you will support the team by learning and contributing to data engineering and business intelligence projects. Under the guidance of experienced team members, you’ll assist in building data pipelines, working with reports, and gaining hands-on experience in data-related technologies and tools. This is an opportunity to develop practical skills and gain exposure to how data is used to drive impact in a global organization.

Principal Accountabilities

• Support BI Development: Assist in building and testing data pipelines and reports under the supervision of senior engineers.
• Learn and Apply Tools: Get hands-on experience with Microsoft BI tools such as Fabric, Power BI and SQL Server.
• Data Quality Support: Help monitor data quality and troubleshoot issues as guided.
• Documentation: Assist in maintaining documentation of data processes and workflows.
• Stakeholder Support: Help gather basic requirements and support communication with data users.
• Team Collaboration: Attend team meetings, share progress, and participate in discussions to contribute ideas.
• Skill Development: Take initiative to learn about data engineering best practices, tools, and techniques.

Key Relationships

Internal (excluding direct team and manager)

• Global IT Team
• BI & Integrations Team
• PMO Team
• SCI Product Development Managers
• Information Security Team
• TD Project Teams

Competencies

Cluster: Learning

• Competency: Willinges to learn Level: Developing 
• Behavioural Indicator: Seeks out opportunities to learn and improve..

Cluster: Thinking

• Competency: Applying Technical and Professional skills Level: Developing 
• Behavioural Indicator: Applies newly learned skills to real-world problems with guidance.

Cluster: Thinking

• Competency: Planning and organising 
• Level: Accomplished 
• Behavioural Indicator: Plans, prioritises and organizes work to meet commitments aligned with organizational goals. 

Cluster: Engaging

• Competency: Working Effectively with Others Level: Developing
• Behavioural Indicator: Actively participates in collaborative tasks and team discussions .

Cluster: Engaging

• Competency: Communicating with Impact Level: Developing 
• Behavioural Indicator: Actively participates in collaborative tasks and team discussions

Experience and Skills

Essential

• Basic knowledge of Microsoft Excel and/or Power BI
• Understanding of what databases are and how data can be used
• Familiarity with writing basic SQL queries (e.g., SELECT, WHERE, JOIN)
• Interest in data analytics or engineering as a career path
• Eagerness to learn new tools and technologies
• Good communication and problem-solving skills

Desirable

• Exposure to Python or PowerShell
• Coursework or projects involving data visualization, databases, or cloud computing
• Familiarity with Microsoft Azure (Data Factory, Synapse) or other cloud platforms

Education and Qualifications

Essential

Currently pursuing or recently completed a Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Information Technology, or a related field