Senior Data Engineer
Posted 13 days ago · 0 applicants
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The role in plain words
This role involves designing, building, and maintaining scalable data pipelines and modernizing an enterprise data platform. Day to day, you will integrate data from diverse enterprise systems, design data models, and optimize pipeline performance for BI and AI teams. You will also document technical processes and help replace legacy data infrastructure.
- 5+ years of experience as a Data Engineer or in a similar role
- Strong hands-on experience building production-grade data pipelines end-to-end
- Excellent SQL skills and strong data modeling experience
- Experience with modern ELT/ETL frameworks such as dbt or similar
- Experience working with cloud-based data platforms
- Experience working with ERP systems
- Experience working with on-premises environments
- Experience with Caché / MUMPS-based systems
Extracted from the job description · kept up to date automatically
Who this suits
This role suits an experienced Data Engineer with at least 5 years of hands-on experience in building cloud-based pipelines, SQL, data modeling, and modern ELT tools like dbt. It is less ideal for junior candidates or those without experience integrating complex legacy data sources.
Full job description
Original listing · kept for referenceJoin one of Israel's leading automotive companies, operating across vehicle import, mobility solutions, service, and advanced business operations.
This is an exciting opportunity to join a growing Data & AI team and play a key role in designing and building a modern enterprise data platform from the ground up. You'll lead the development of scalable data pipelines, modernize legacy data infrastructure, and enable advanced analytics and AI-driven solutions across the organization.
What You’ll Do:
• Design, develop, and maintain scalable end-to-end data pipelines
• Build and modernize the organization's enterprise data platform, replacing legacy data infrastructure
• Design data models and optimize data quality, reliability, and performance
• Integrate data from multiple enterprise systems, including legacy and complex source environments
• Develop reliable data extraction, transformation, and integration processes
• Collaborate closely with BI, Analytics, and AI teams to enable reporting and AI-powered solutions
• Document data models, pipelines, and technical processes while promoting development best practices
Requirements:
Must-Haves:
• 5+ years of experience as a Data Engineer or in a similar role
• Strong hands-on experience building production-grade data pipelines end-to-end
• Excellent SQL skills and strong data modeling experience
• Experience with modern ELT/ETL frameworks such as dbt or similar
• Experience working with cloud-based data platforms
• Experience integrating complex or legacy data sources
• Ability to work independently and translate business requirements into scalable technical solutions
Nice to Have:
• Experience working with ERP systems
• Experience working with on-premises environments
• Experience with Caché / MUMPS-based systems
• Experience in regulated industries such as finance, insurance, or healthcare
Additional Info:
• Full-time position, located in Lod
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 5+ years of experience as a Data Engineer or in a similar role, Strong hands-on experience building production-grade data pipelines end-to-end, Excellent SQL skills and strong data modeling experience, Experience with modern ELT/ETL frameworks such as dbt or similar, Experience working with cloud-based data platforms