Graduate Data & AI Engineer | Mentorship & Growth

Xomnia; Amsterdam; On-site; EUR 357,000 - 469,000; Full time

Benefits offered by this job

Learning Labs

Company trips

Healthy lunch

Pension

Stock Appreciation Rights

Job summary

Xomnia, based in Amsterdam, is hiring graduates as Data & AI Engineering Consultants. You join project teams with senior colleagues, learning in a hands-on environment while contributing to real client work across data platforms, analytics, and AI.

A structured path from Junior to Senior guides growth, with a culture of curiosity and shared ownership. You will write Python and SQL, build pipelines, gain cloud exposure on Azure or AWS, and translate analyses into practical client actions while

Qualifications

• Master's degree in CS/AI/DS/Econometrics/Math, graduate in 2026 or recently.
• Strong Python programming and SQL querying skills.
• Experience with Git.
• Foundation in statistics and machine learning basics.
• Familiarity with cloud (Azure or AWS).
• Fluency in English and Dutch.
• Curious about business needs and good communication.

Responsibilities

• Write clean, efficient Python and SQL code.
• Build and maintain data pipelines under supervision and grow components.
• Get hands-on with cloud services on Azure or AWS.
• Turn analyses into actionable client deliverables and present clearly.
• Ask questions to get to root causes and join Learning Labs to learn fast.

Skills

Python

SQL

Git

Statistics

English

Dutch

Education

Master's degree in CS/AI/DS/ Econometrics/ Mathematics

Tools

Azure

AWS

Job description

Xomnia, based in Amsterdam, is hiring graduates as Data & AI Engineering Consultants. You join project teams with senior colleagues, learning in a hands-on environment while contributing to real client work across data platforms, analytics, and AI.

A structured path from Junior to Senior guides growth, with a culture of curiosity and shared ownership. You will write Python and SQL, build pipelines, gain cloud exposure on Azure or AWS, and translate analyses into practical client actions while