We are NAYA Technologies.

We are a leading global provider of data platform and development professional services.

We are proud to be one of the fastest-growing data and development technology companies worldwide, based in Israel — and we're hiring.

We are looking for a skilled and motivated Data Engineer to join our growing data team.

About the Role

We are looking for a Senior Data Engineer with strong expertise in building and scaling modern data pipelines. You’ll work with cutting-edge cloud technologies and Databricks to deliver high-quality, reliable, and performant data solutions.

Responsibilities

• Design, build, and maintain scalable data pipelines to process large and complex datasets.
• Implement data workflows using Databricks and cloud-native tools.
• Ensure data reliability, quality, and performance across the pipeline lifecycle.
• Work closely with other departments to provide high-quality, business-ready data solutions.
• Optimize pipeline performance and cost in public cloud environments (AWS, Azure, GCP).
• Contribute to data architecture decisions and best practices in pipeline orchestration.

Requirements

• 5+ years of experience as a Data Engineer.
• Proven hands-on experience with Databricks.
• Strong proficiency in Python and SQL (complex queries, optimization).
• Experience working in a public cloud environment (AWS, Azure, or GCP).
• Solid understanding of data pipeline design, orchestration, and monitoring.

Nice to Have

• Experience with Apache Spark.
• Familiarity with orchestration tools (Airflow, Prefect, Dagster).
• Knowledge of CI/CD practices and containerized environments (Docker, Kubernetes).
• Understanding of data lakehouse or modern data warehouse architectures.

Why Join Us?

• Build mission-critical data pipelines using the latest technologies.
• Work in a collaborative, cloud-first environment.
• Opportunity to influence data engineering strategy and architecture.