About AIB International:AIB International is a global leader in food safety and quality professional services, including training, consulting, certification and inspection. We are committed to supporting the food industry through expert guidance, innovation, and a deep understanding of global safety regulations.
Description of Job Function:The Data Engineering Intern will work directly with the Business Intelligence team to support the development and maintenance of automated data pipelines, data infrastructure, and analytics workflows. This is a hands-on role. The intern will contribute to real production work alongside the team, gaining practical experience with cloud-based data engineering tools including Azure Databricks and Azure Data Lake Storage Gen2. This internship is well-suited for a student with foundational Python and SQL skills who wants to grow in data engineering and sees a career path in building the systems that power business intelligence and AI.
Responsibilities:AI and this roleThe intern in this role will use AI-assisted coding tools including Claude Code and Cursor as part of their standard development workflow and will have visibility into the team's broader AI initiatives. We are looking for someone who has already used AI tools in a meaningful way and is eager to go further. Familiarity with prompt engineering or LLM-based workflows is a plus.
What you'll work on- Assist in building and maintaining automated data pipelines in Azure Databricks
- Write and optimize SQL queries against operational data sources
- Support ingestion pipeline development for source systems including internal databases and APIs
- Help organize and structure data in Azure Data Lake Storage Gen2 following established patterns
- Contribute to notebook development, job scheduling, and pipeline testing in Databricks
- Document pipeline logic, data flows, and process runbooks
- Assist in evaluating and integrating AI-assisted coding tools (Claude Code, Cursor) into the team's development workflow
- Explore and research emerging data engineering and AI tools as directed by the Manager
What you'll learn- Hands-on experience with Azure Databricks - notebooks, jobs, and workflow orchestration
- Practical exposure to cloud data lake architecture using Azure Data Lake Storage Gen2
- Real-world data pipeline development using Python and pandas in a production environment
- Introduction to Delta Lake table formats and data layering concepts
- How a small, high-ownership BI and data team operates end to end
Qualifications
Required:
- Currently enrolled in or recently graduated from a program in Computer Science, Information Systems, Data Science, Data Analytics, Statistics, or a related field - all levels welcome including undergraduate, graduate, and recent grads
- Working knowledge of Python - comfortable writing scripts and working with pandas
- Foundational SQL skills - able to write basic to intermediate queries against relational databases
- Curiosity, attention to detail, and willingness to learn new tools quickly
Preferred:
- Any exposure to cloud platforms - Azure, AWS, or GCP
- Familiarity with Notebooks or similar notebook-based development environments
- Experience with Git or version control basics
- Prior coursework or project experience in data engineering, ETL, or database design
- Experience using AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code) in a development workflow
*Considering a full-time or part-time role.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
