About the Role

We are looking for an experienced Data Engineer to join our growing data team and help design, build, and optimize modern data solutions.
You will work closely with analysts and data professionals in Israel to create robust analytics environments, scalable data pipelines, and well-structured data models that empower business decisions.

If you’re passionate about data architecture, cloud technologies, and automation — we’d love to meet you.

Responsibilities

• Design, develop, and maintain data pipelines and analytics solutions using Snowflake and dbt (Core/Cloud)
• Build reliable and scalable ETL/ELT workflows to support analytical and operational needs
• Collaborate with data analysts, engineers, and business teams to understand requirements and translate them into technical solutions
• Implement data modeling best practices, ensuring data quality, integrity, and performance
• Work within modern data architectures and continuously improve processes and infrastructure
• Contribute to CI/CD pipelines and help automate data deployments
• Support cross-functional data initiatives with the Israeli data team

Requirements

• 4+ years of experience as a Data Engineer
• 3+ years of hands-on experience with Snowflake
• Deep hands-on experience with dbt (Core / Cloud)
• High proficiency in SQL and data transformation techniques
• Strong understanding of modern data architectures and data modeling best practices
• Business-oriented mindset with the ability to translate needs into scalable solutions
• Excellent problem-solving and analytical skills, with a proactive “can-do” approach
• Ability to work independently as well as within an agile team environment
• Bachelor’s degree in Computer Science, Software Engineering, or a related field
• Experience with CI/CD procedures and DevOps best practices — major advantage
• Fluent English (written and spoken)

Why Join Us

• Work with cutting-edge cloud technologies (Snowflake, dbt, CI/CD)
• Collaborate with highly skilled international teams
• Take ownership of impactful, end-to-end data initiatives

• A culture that values autonomy, curiosity, and innovation

  Hiring process

• Interpersonal + professional interview (VP of Data & Analytics).
• Technical interview
• Security check - due to the domain.