Internship Data & AI Engineering

As an intern in the Data & Analytics Engineering team, you will support ING Analytics department in the development of the Repo Scanner (Repo Radar) platform, helping analyze repositories and generate insights on technology usage, code quality, and dependencies. You will contribute to both rule-based and intelligent (agentic) scanning while gaining hands-on experience with modern developer tools and cloud-based systems.

• Support the development of the Repo Scanner (Repo Radar) platform, focusing on both rule-based and intelligent (agentic) repository scanning capabilities.
• Collaborate on integrating scanning workflows into existing platforms (e.g., ADO Pipelines, GitHub Agents, GCP) to enable automated, scalable execution.
• Explore and apply GenAI-assisted development tools (e.g., GitHub Copilot, Microsoft Copilot) to accelerate implementation and improve developer productivity.
• Support repository onboarding processes, including access setup, analysis of repository structures, and identification of relevant metadata in ING platforms.
• Building and improving rule-based and intelligent logic leveraging LLM-based and agentic approaches to extract and organize insights from Azure DevOps and GitHub repositories.
• Develop and maintain data pipelines and staging logic to structure scan outputs into a scalable code catalog / data storage layer for further analysis and reporting.
• Support the design and development of dashboards and visualization layers (e.g., using Python-based frameworks and/or Looker) to present insights such as technology landscape, language distribution, security findings, and GenAI usage.
• Contribute to research and implementation of new features (e.g., code quality checks, test coverage, dependency analysis, and security-related insights).
• Collaborate with cross-functional stakeholders to gather requirements, refine scanning capabilities, and translate ambiguous needs into actionable technical solutions.