Data Engineer (AI)

TL;DR

Data Engineer (AI): Designing, building, and maintaining robust data infrastructure and scalable data pipelines for analytics and business intelligence with an accent on optimizing data storage, processing, and query performance for large-scale datasets. Focus on implementing data quality monitoring, data governance, and developing automation tools to improve data engineering workflows.

Location: Amsterdam, Netherlands; Germany; Prague, Czech Republic; United Kingdom (flexible working arrangements)

Company

hirify.global is a Nasdaq-listed cloud computing company headquartered in Amsterdam, creating tools and resources for the global AI economy with R&D hubs across Europe, North America, and Israel.

What you will do

• Design, develop, and maintain scalable data pipelines.
• Build and optimize data infrastructure.
• Implement data quality monitoring and validation frameworks.
• Optimize data storage, processing, and query performance for large-scale datasets.
• Design and implement data models for analytics and reporting use cases.
• Ensure data governance, security, and compliance standards are met.

Requirements

• 3+ years of experience in data engineering or related roles.
• Experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Dagster).
• Strong proficiency in SQL and solid programming skills in Python.
• Experience with distributed data processing frameworks (e.g., Apache Spark).
• Knowledge of data modeling principles and best practices.
• Understanding of data architectures and storage systems.

Nice to have

• Experience with real-time data streaming platforms.
• Familiarity with Infrastructure as Code tools (Terraform).
• Experience with containerization (Docker) and Kubernetes.
• Knowledge of data governance and privacy frameworks (GDPR, SOC2).

Culture & Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within hirify.global.
• Flexible working arrangements.
• Dynamic and collaborative work environment.