Consultant Data Engineer (AI)

TL;DR

Consultant Data Engineer (AI): Developing and maintaining data pipelines, cloud infrastructure, and AI solutions for client projects with an accent on DevOps practices, containerization, and CI/CD automation. Focus on building scalable data architectures, managing cloud services (GCP/AWS/Azure), and supporting the full lifecycle of data science applications.

Location: Must be based in Maastricht, Netherlands

Company

hirify.global is a next-generation, global management consulting group that combines digital expertise, data-driven insights, and creativity to help clients navigate change and disruption.

What you will do

• Design and manage cloud infrastructure on GCP, AWS, or Azure using Infrastructure as Code.
• Develop and maintain data pipelines and ETL scripts for Big Data environments.
• Implement containerization and orchestration strategies using Docker and Kubernetes.
• Manage the CI/CD lifecycle for applications and internal platforms.
• Build server-side tools and REST APIs using Python.
• Develop infrastructure solutions specifically adapted to Machine Learning workloads.

Requirements

• Master’s Degree in a quantitative field (Econometrics, Physics, Mathematics, Statistics, or Finance).
• 1-3 years of experience in Data, DevOps, Cloud, or Software Engineering.
• Excellent English and Dutch proficiency (verbal and written).
• Must have valid work authorization for the Netherlands (no work permit sponsorship provided).
• Strong foundation in Python and SQL (PostgreSQL) with familiarity in NoSQL (MongoDB).
• Experience with Docker, CI/CD pipelines, and security best practices (OAuth2, HTTPS).

Nice to have

• Experience with Kubernetes and Terraform.
• Mastery of the Gitlab-CE ecosystem.
• Prior experience with cloud services platforms (GCP, AWS, or Azure).

Culture & Benefits

• Flat organizational structure that encourages entrepreneurial spirit and initiative.
• Focus on team well-being, diversity, and continuous knowledge-sharing.
• Opportunity to shape the future of a growing, diverse Data Science team.
• Exposure to a wide variety of client projects and internal AI solution development.