Data Engineer (AI)

TL;DR

Data Engineer (AI): Design and maintain scalable data pipelines and secure data environments for advanced analytics and machine learning solutions with an accent on data quality, reproducibility, and contribution to R&D projects. Focus on building innovative AI solutions, solving real-world challenges, and collaborating with cross-functional teams and clients.

Location: Must be based in Zurich

Company

hirify.global, helps clients build innovative machine learning systems and accelerate AI adoption to solve business problems at scale.

What you will do

• Design and build scalable, reproducible data pipelines for machine learning.
• Assess data landscapes, ensure data quality, and prepare data for advanced analytics models.
• Manage secure data environments and contribute to R&D projects and internal asset development.
• Collaborate with Data Scientists, Machine Learning Engineers, and industry experts in cross-functional Agile teams.
• Partner with clients, from data owners to C-level executives, to solve complex business problems.

Requirements

• Degree in Computer Science, Engineering, Mathematics, or equivalent experience.
• Up to 2 years of experience building data pipelines in a professional setting.
• Ability to write clean and maintainable code in an object-oriented language (e.g., Python, Scala, Java).
• Familiarity with analytics libraries, distributed computing frameworks, and cloud platforms (AWS, Azure, GCP).
• Practical experience in generative AI application development.
• Proficient communication skills in German and English (C1+).

Nice to have

• Exposure to software engineering concepts and best practices, including DevOps, DataOps, and MLOps.

Culture & Benefits

• Continuous learning and structured apprenticeship culture with clear, actionable feedback.
• Opportunity to make a tangible impact with innovative ideas and practical solutions.
• Be part of a global community with colleagues across 65+ countries and over 100 different nationalities.
• Competitive salary and comprehensive benefits package for holistic well-being.
• Work in a high-performance/high-reward culture.