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 role involves enhancing Finout's core platform, improving system efficiency, optimizing data pipelines, and integrating SAAS platforms with a strong focus on cloud environments and big data technologies.

As a Senior Data Engineer, you'll develop, deploy, and maintain data infrastructure and pipelines, ensuring data quality and reliability, while mentoring junior engineers.

As a Senior Data & BI Engineer, manage data architecture and analytics strategies, leading the development of scalable data pipelines and ensuring data accuracy and security.

Develop and implement data pipelines, conduct research on data processing systems, and collaborate cross-functionally to enhance customer success insights.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, partner with teams for data solutions, and ensure data quality and performance.

The Backend Engineer will design and implement robust data solutions, build scalable data pipelines, and work closely with product and engineering teams.

This role involves designing and optimizing data infrastructure for AI/ML workloads, leading DataOps initiatives, and enhancing data teams' productivity through scalable solutions and collaboration across engineering disciplines.

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.

Design and operate large-scale data products, manage pipelines and services, ensure data quality, and collaborate with cross-functional teams.

As a Forward Deployed Engineer, you will deploy the Federated Computing Platform, manage customer workflows, and ensure successful implementations while enhancing data privacy and security.

As a Senior Data Engineer, you will build data pipelines and tools, optimize analytics, and collaborate on data solutions to enhance insights across teams.

As a Senior Data Engineer, you will design and maintain scalable data infrastructure, build batch processing workflows, and enable AI/ML solutions in collaboration with cross-functional teams.

The Principal Engineer will design and build scalable infrastructure for processing billions of events, overseeing the entire software development life cycle including requirement analysis and support.

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.