Senior Data Engineer (AI)

Location: Israel

Company

hirify.global provides an AI-native platform for Agentic HR, supporting talent redeployment, internal mobility, skills intelligence, and workforce redesign for global enterprises.

What you will do

• Design, build, maintain, and monitor scalable ELT/ETL data pipelines and cloud data warehouses.
• Develop Python services for data collection and ingestion.
• Analyze complex datasets, identify trends, and deliver actionable business insights.
• Build and optimize data infrastructure for autonomous agentic workflows and LLM integrations.
• Maintain Kafka consumer applications for high-volume real-time event processing.
• Collaborate with engineering, analytics, product, and business stakeholders to resolve data issues and define requirements.

Requirements

• 5+ years of experience in data engineering with a strong background in data architecture.
• Expertise in SQL and Python, including data manipulation, scripting, and pipeline automation.
• Hands-on experience with Airflow, dbt, and cloud data platforms such as BigQuery, Databricks, or Snowflake.
• Experience with data analysis, reporting, data modeling, and actionable insight generation.
• Experience supporting data infrastructure for agentic environments or AI/LLM-driven applications.
• Experience with at least one of Kafka, Kubernetes, ArgoCD, Terraform, or Debezium, plus Git workflows and CI/CD for data pipelines.

Nice to have

• Experience with Looker, Tableau, or Power BI for advanced dashboarding.
• Experience with graph databases or NoSQL databases.
• Experience building Python backend APIs with FastAPI or Flask for analytics dashboards.

Culture & Benefits

• Work on an AI-native platform serving global enterprises.
• Collaborate across engineering, product, analytics, and business teams.
• Own data architecture, quality standards, documentation, and production reliability.