Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (Python/SQL): Designing and operating a scalable cloud-native data platform to support analytics and AI-driven use cases with an accent on reliable data pipelines, dimensional modeling, and AI foundations. Focus on building the data infrastructure for LLM applications, agent-based systems, and RAG solutions.

Location: Remote. Must be based in one of the following countries: Egypt, Albania, Kazakhstan, South Africa, Azerbaijan, Tunisia, Nigeria, Uzbekistan, Kyrgyzstan, Ukraine, Poland, North Macedonia, Serbia, Romania, or Bosnia and Herzegovina.

Company

hirify.global is a fast-growing HR-tech startup providing global people management tools and financial benefits, enabling companies to hire talent regardless of geographical boundaries.

What you will do

• Design, build, and maintain scalable data pipelines using modern tools like dbt, Airflow, and Prefect.
• Develop dimensional and semantic data models to support both operational and analytical use cases.
• Create curated data products specifically optimized for modern AI workloads, including LLMs and RAG applications.
• Manage cloud-based data infrastructure on AWS to ensure performance, scalability, and cost efficiency.
• Collaborate with AI, Analytics, and Product teams to evolve the organization's data platform.
• Build version control workflows and isolated environments for development and testing.

Requirements

• 5+ years of professional experience in Data Engineering with a track record of production delivery.
• Strong proficiency in building scalable pipelines using Python and SQL.
• Hands-on experience with dbt, Airflow, Prefect, or similar orchestration tools.
• Expertise in dimensional data modeling and semantic layers.
• Experience with AWS services, specifically S3, Redshift, Athena, Glue, and Lambda.
• Familiarity with the data requirements for AI agents, LLMs, and RAG architectures.

Culture & Benefits

• 100% remote work environment with a culture of respect, kindness, and the right to fail.
• Opportunity to define how AI transforms a category-leading startup in an early-stage environment.
• Direct impact on revenue growth and customer differentiation.
• Competitive compensation and PTO regulated by local statutory laws.
• High visibility with reporting directly to the Data Lead.