Data Engineer

A well-funded technology company is transforming traditional industrial sectors by integrating high-scale data collection with advanced AI. Their platform captures and analyzes real-time field data to provide actionable insights, significantly improving operational efficiency and safety in complex physical environments.

Led by veterans of the global tech industry and backed by premier venture capital, the company is scaling its R&D center to meet the demands of its expanding international operations.

The company is located in Tel Aviv, within walking distance of the train, and operates a hybrid model with two days of remote flexibility.

Role Overview:

• Joining as a Senior Engineer within the Data and Research organization, taking ownership of the company's data architecture.
• Designing and implementing scalable Data Modeling and robust Data Pipelines to process high-velocity IoT streams.
• Empowering data analysts and researchers by providing reliable, high-quality data infrastructures.
• Ensuring the highest standards of data integrity and quality across the entire ecosystem.
• Working within a modern, high-scale tech stack to bridge the physical-to-digital data loop.

Requirements:

• 5 years of professional experience as a Data Engineer – Mandatory.
• Deep hands-on expertise with Spark (PySpark/SQL) – Mandatory.
• Proven experience working with Databricks – Mandatory.
• Strong proficiency in developing and deploying within AWS environments – Mandatory.
• Experience with Kafka, Terraform, or real-time data streaming – Significant Advantage.