Join one of Israel’s leading insurance and financial companies as a Data Engineer on the core data team, building end-to-end Data solutions on a modern cloud stack. You'll work at the center of an enterprise-scale data landscape - Databricks, Spark, and Azure - with direct impact on BI, AI, and analytics capabilities across the business.
What You'll Do:
- Develop and implement data pipelines and ETL/ELT processes, both Batch and Streaming.
- Build Data Products and enterprise-wide data solutions on Databricks, Spark, and Azure.
- Implement Data Quality, Monitoring, and CI/CD practices across data workflows.
- Work directly with business stakeholders and the BI, AI, and analytics teams.
- Own solutions from the characterization phase through to production.
Requirements:
- 3+ years of experience as a Data Engineer - Must
- Strong hands-on experience with SQL and Python - Must
- Experience working with Databricks and Spark - Must
- Experience developing ETL/ELT processes in a Cloud environment - Must
- Experience working with Data Lake and Data Warehouse environments - Must
- Familiarity with Git, CI/CD, and DataOps practices - Must
- Ability to independently lead technical tasks and projects - Must
- Experience working in Enterprise environments - Advantage
- Familiarity with Data Governance and Data Quality practices - Advantage
- Experience supporting AI and Analytics projects - Advantage
