Data Engineer (AI)

TL;DR

Data Engineer (AI): Designing and maintaining scalable data pipelines for machine learning systems with an accent on data quality, security, and advanced analytics. Focus on building innovative AI solutions, collaborating in cross-functional Agile teams, and driving business impact through technology.

Location: Must be based in Amsterdam or Brussels

Company

hirify.global, is a division within McKinsey focused on building innovative AI solutions and machine learning systems.

What you will do

• Design and maintain scalable, reproducible data pipelines for machine learning.
• Assess data landscapes and ensure data quality.
• Prepare data for advanced analytics models.
• Manage secure data environments.
• Contribute to R&D projects and internal asset development.
• Collaborate with cross-functional Agile teams, clients, Data Scientists, and Machine Learning Engineers.

Requirements

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• Ability to write clean and maintainable code in an object-oriented language like Python, Scala, or Java.
• Familiarity with analytics libraries, distributed computing frameworks (e.g., Spark, Dask), and cloud platforms (e.g., AWS, Azure, GCP).
• Exposure to software engineering concepts and best practices, including DevOps, DataOps, and MLOps.
• Strong communication skills, both verbal and written, in English.
• Exceptional time management to meet responsibilities in a complex and largely autonomous work environment.

Nice to have

• 0-2+ years of experience building data pipelines in a professional setting (e.g., internship).
• French or Dutch language knowledge.

Culture & Benefits

• Continuous learning and apprenticeship culture with structured programs and actionable feedback.
• Opportunity for your ideas and contributions to make a tangible impact.
• Global community with colleagues across 65+ countries and over 100 different nationalities.
• Competitive salary based on your location, experience, and skills.
• Comprehensive benefits package to enable holistic well-being.