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We know that to create meaningful solutions, everyone must be a part of our journey. We promote workplace transparency, and involve all crew members in our successes, challenges and ambitions for the future.

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We recognize our success depends on the happiness and connection each person feels. We strive to create a place where employees are encouraged to discover their passion.

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We are proud to have a crew of top experts, visionaries and innovators. We encourage employees to do what they need to achieve their personal growth and development.

Our Culture

Working at Windward means thriving from collaboration, teamwork and mutual success. We value each crew member and ensure ample time and space for personal growth and professional development.

Senior Backend Engineer

TLV, Israel · Full-time · Intermediate

About The Position

As a Backend Engineer, you will hold a crucial role in designing, developing, and maintaining our data platform, supporting critical data-driven decision-making processes across the organization. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, ensuring the smooth flow of data and optimizing data pipelines. The ideal candidate will possess a strong background in backend engineering, with proven expertise in Java (including Spring Boot), Kafka, Data Pipelines, AWS, and ETL processes.


  • Lead the design, development, and maintenance of efficient and scalable data pipelines, facilitating data collection, processing, and transformation from diverse sources.
  • Implement real-time data streaming solutions using Kafka, ensuring timely data ingestion and availability.
  • Utilize Java, including Spring Boot, to build robust and high-performance data processing applications within our data platform.
  • Collaborate closely with cross-functional teams to comprehend data requirements, identify opportunities for data optimization, and support data-driven initiatives.
  • Uphold data integrity, reliability, and availability by implementing effective ETL processes and conducting data quality checks.
  • Leverage AWS services for data storage, processing, and analytics, adhering to security and performance best practices.
  • Monitor and troubleshoot data pipeline performance, proactively identifying bottlenecks and implementing optimizations.
  • Stay updated with industry trends and emerging technologies in data engineering, contributing to continuous improvement.


  • Bachelor’s degree in Computer Science or Engineering.
  • 6+ years of professional experience as a Data Engineer.
  • Full proficiency in Kafka and Java (Spring Boot), with a proven track record of building data pipelines and streaming solutions.
  • Strong experience in designing and constructing ETL processes for data transformation and integration.
  • Proficiency in AWS services for data storage, processing, and analytics.
  • Familiarity with Python
  • Strong problem-solving skills and meticulous attention to detail.

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