Data Engineer

Elbit Systems · Information Technology · C4ISR · Bachelor's Degree · Python · SQL · ETL/ELT · 1 day ago
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Location
In office (Haifa)

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 1, 2026. Elbit Systems scores A on the Alion truth index.

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Elbit Systems

Elbit Systems is an Israeli defence electronics company founded in 1966 and headquartered in Haifa, and the largest privately owned defence contractor in the country. It supplies unmanned aircraft including the widely exported Hermes family, artillery systems such as the PULS rocket launcher, active protection for armoured vehicles, and the helmet-mounted display systems worn by pilots of the F-35 and other combat aircraft. The company has grown substantially through acquisition, including IMI Systems and the night vision business of Harris, and it derives most of its revenue from exports across Europe, Asia and the Americas rather than from its home market.
elbitsystems.com · HQ: Haifa, Israel · C4ISR · Military Drones · Defense Manufacturing · 5000+ employees · Est. 1966
Tech stack of Elbit Systems

For our company site in Haifa, the Data Engineering department is looking for a Data Engineer to join a team developing advanced data solutions in a dynamic and innovative technological environment

You will work on modern data lake architecture using Microsoft Fabric, enabling scalable and efficient data processing for analytics and business insights

In this role you will

Design, develop, and maintain ETL pipelines for ingesting and transforming data from multiple sources

Build and optimize data models for analytics, reporting, and business insights

Develop scalable data processing solutions using Python and PySpark

Work with SQL and Data Warehousing concepts to ensure data integrity, reliability, and performance

Design and implement CI/CD pipelines for automated deployment processes using Azure DevOps

Collaborate with cross-functional teams to translate business requirements into technical data solutions

Implement best practices for data governance, security, and quality in modern Data Lake environments

Stay up to date with emerging technologies and contribute to continuous improvement initiatives

Requirements

Bachelor’s degree in Information Systems, Software Engineering, Computer Science, or a related field

Strong knowledge of SQL, relational databases, Data Warehousing concepts, and Data Modeling techniques

Hands-on experience in ETL development and building scalable data pipelines

Hands-on experience with Python and PySpark

Familiarity with modern Data Lake architectures and modern data platforms (experience with Microsoft Fabric is a plus)

Excellent problem-solving skills and ability to work in a fast-paced environment

Hands-on experience with Azure DevOps, CI/CD pipelines, version control systems (Git), and branching strategies

Experience with cloud-based data solutions (Azure, AWS, or GCP) - Advantage

Knowledge of GraphQL, API integration, data virtualization - Advantage

*Only relevant applications will be answered

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