Top Data Engineer Jobs in Israel

Lead a team of BI & Data Engineers, manage data solutions for Finance and CX, oversee data quality, and enhance data architecture.

Design and implement a scalable BI data infrastructure. Build and maintain ETL/ELT pipelines for analytics. Collaborate cross-functionally to translate business needs into data solutions.

The Data Engineer will develop big data ML algorithms, optimize data pipelines, and ensure data integrity while collaborating with teams.

The Data Engineer will design and implement systems for data processing, maintain data pipelines, and ensure efficient data operations.

Lead and mentor a data engineering team, define technical vision, design data pipelines, and ensure data accessibility for business insights.

The Senior Data Engineer will design and deliver data pipelines, mentor engineers, and maintain the data platform's performance and reliability.

The Data & AI Engineer will build and optimize AI agents, develop backend APIs, maintain data pipelines, and mentor team members.

Lead the Amplification team, driving feature development and managing high-volume data systems while collaborating with stakeholders.

The Senior Backend Data Engineer will design, build, and maintain scalable data pipelines and infrastructure, enabling AI/ML product development, ensuring data quality and optimizing performance, while collaborating with various teams to deliver high-quality data services.

Develop and optimize data pipelines and integrations, manage data models, and collaborate with teams to ensure data governance and quality.

As a Senior Data Engineer at UVeye, you'll lead the Data Team, design high-performance data pipelines, and optimize data analytics platforms to drive business growth through actionable insights.

As a Senior Data Engineer, you will design and develop scalable data systems using AWS and Apache Spark, collaborate across teams, and implement data best practices.

As a Software Engineer, you'll process and analyze data, develop Python applications, manage data architectures, and enhance geospatial features for utility mapping.

Lead AI integration and strategies across the organization, guide teams in AI adoption, manage AI projects, and ensure ethical implementation of technologies.

The Principal Data Engineer will design scalable data platforms, enhance data operations, and lead a team to optimize data implementation and analytics.

The Data Engineer will architect and build data workflows, ensuring reliable data flows and collaboration with stakeholders. Responsibilities include ETL, data validation, performance optimization, and documentation.

The Senior Data Engineer will design and scale data infrastructure, manage the service lifecycle, and ensure data quality while collaborating with multiple teams.

This role involves developing and managing data pipelines for analytics, ensuring data quality, and guiding teams in data management processes.

The Senior Software Engineer in Test will validate data pipelines and ETL workflows, ensuring data integrity and performance while mentoring peers and automating testing processes.

Responsible for the software development life cycle, including designing, building, and maintaining scalable applications, while collaborating on cybersecurity products.

The Senior Data Engineer will design, develop, and support data infrastructure and pipelines, ensure data integrity, and lead investigations while writing documentation.

Design and maintain scalable data pipelines, implement Lakehouse architecture, develop ETL processes, and ensure data integrity and quality.

The role involves developing data plane features for distributed systems, including design, coding, and debugging while mentoring junior engineers.

As a Senior Backend Engineer, you will build data platforms and internal tools, develop APIs, manage data pipelines, and work in multi-cloud environments to support data-driven decisions.

As a Senior Data Engineer, you will develop Data Lakehouse processes, implement data ingestion and ETL, and collaborate with cross-functional teams to secure CyberArk products.