Data Engineer

TL;DR

Data Engineer: Designing, building, and maintaining robust data infrastructure and scalable data pipelines with an accent on optimizing data storage, processing, and query performance for large-scale datasets. Focus on implementing data quality monitoring, automation, and designing data models for analytics and reporting use cases.

Location: Must be based in Amsterdam, Netherlands, Germany, Prague, Czech Republic, or the United Kingdom. Flexible working arrangements available.

Company

hirify.global is a cloud computing company focused on serving the global AI economy by providing tools and resources for AI/ML challenges.

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.
• Develop tools and automation to improve data engineering workflows.
• Ensure data governance, security, and compliance standards.
• Participate in on-call rotation to support production data systems.

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).
• Knowledge of data quality and observability tools (Great Expectations).

Culture & Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth.
• Flexible working arrangements.
• Dynamic and collaborative work environment that values initiative and innovation.
• Work at the cutting edge of AI cloud infrastructure.