Internship Data & AI Engineering

ing; Amsterdam; Hybrid; EUR 7,100 - 8,500; Full time

Benefits offered by this job

Internship allowance 700 EUR

Your own work laptop

Hybrid working

Personal growth opportunities

Informal working environment

Job summary

ING in Amsterdam is offering an internship in the Data & Analytics Engineering team to support the Repo Scanner (Repo Radar) platform, analyzing repositories for tech usage, code quality, and dependencies. You will work on rule-based and agentic scanning, integrating workflows into ADO Pipelines, GitHub Agents, and GCP, and exploring GenAI-assisted tools to boost development productivity.

This role provides hands-on experience with Python data pipelines, Looker visualizations, and collaboration

Qualifications

• Currently pursuing a degree in Computer Science, AI, software engineering, or related field.
• Strong analytical and problem-solving skills.
• Knowledge of Python programming; familiarity with Java/Scala/JavaScript is a plus.
• Familiarity with version control and repositories (Git, GitHub, Azure DevOps).
• Interest in clean code, testing principles, and AI/LLM-based systems.

Responsibilities

• Support the development of the Repo Scanner (Repo Radar) platform, focusing on rule-based and intelligent (agentic) repository scanning.
• Collaborate on integrating scanning workflows into ADO Pipelines, GitHub Agents, and GCP for automated, scalable execution.
• Explore GenAI-assisted development tools (GitHub Copilot, Microsoft Copilot) to accelerate implementation.
• Support repository onboarding, including access setup and metadata analysis in ING platforms.
• Build and improve data pipelines and a code catalog / data storage layer for analysis and reporting.
• Assist in designing dashboards and visualizations (Looker/Python-based) to present insights on tech landscape and GenAI usage.

Skills

Python

Java

Scala

JavaScript

Git

GitHub

Azure DevOps

Looker

Education

Currently pursuing a degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field

Tools

Git

GitHub

Azure DevOps

Looker

Job description

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.

The team

The Repo Scanner (Repo Radar) team focuses on improving visibility and standardization across engineering teams by analyzing repositories and creating actionable insights. The team collaborates with platform and product squads to build scalable solutions and enhance overall engineering quality within ING.

Role and Responsibilities

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.

How to succeed

Currently pursuing a degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.

Strong analytical and problem-solving skills.

Knowledge of Python programming, experience in other programming languages (e.g., Java, Scala, or JavaScript) is a plus.

Familiarity with version control and repositories (e.g., Git, GitHub, Azure DevOps).

Interest in software engineering practices such as clean code, code quality, and testing principles.

Interest in AI/LLM-based systems, with familiarity about agentic approaches.

Curiosity about modern developer tools such as GitHub Copilot or Microsoft Copilot.

Strong communication skills and attention to detail.

Ability to work in a fast-paced, collaborative, and international team environment.

Rewards and benefits

This is a great opportunity to train with highly skilled people who are experts in their field. You'll do a lot and learn a lot - not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you.

You'll also benefit from:

• Internship allowance of 700 EUR based on a 36 hours work week
• Your own work laptop
• Hybrid working to blend home working for focus and office working for collaboration and co-creation
• Personal growth and challenging work with endless possibilities
• An informal working environment with innovative colleagues

During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).

About our internships

Every year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship). Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking - put simply, it's a great start to your career.