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Data Engineer

Elbit Systems

Where
IsraelThe listing doesn't say if it's on-site, hybrid or remote.
Language, from the listing
No Hebrew mentionedA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
Dates
Posted 1 Nov 2026
Last checked on the employer's site
4 h ago (4 Nov 2026)
Source
Employer career site

What they ask for

  • 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
  • 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
  • Only relevant applications will be answered
  • #Haifa

Nice to have

  • Familiarity with modern Data Lake architectures and modern data platforms (experience with Microsoft Fabric is a plus)
  • Knowledge of GraphQL, API integration, data virtualization – Advantage

The full listing

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 #Haifa