Data Engineer

AI startup developing a SaaS platform for managing and monitoring complex construction projects, with the goal of transforming the construction industry into a digital, intelligent environment minimizing the gap between planning and execution while saving costs.

The company leverages Computer Vision technology to process and analyze 360° video and 3D models.

They have raised a total of $100M, following a Series C round, and have paying customers.

The company offers employee benefits such as stock options, meal cards, and a study fund.

Headquartered in Tel Aviv (next to a train station), the company operates in a hybrid model with two work-from-home days per week and employs about 250 people globally, including 190 in Israel.

This role -

• Sole Data Engineering position within the Data team, responsible for the company’s entire data domain.
• Work closely with Analytics and Development teams to design and maintain data infrastructures supporting business needs.
• Previously, these responsibilities were managed by the company’s System Architect.
• Report directly to the Data Team Lead.
• Develop, design, and maintain data pipelines and ETL processes.
• Build and maintain the company’s Data Warehouse (DWH).
• Model and import data from external sources.
• Optimize system and query performance.
• Tech stack: Airflow, dbt, SQL (PostgreSQL), Python.

Requirements-

• Proven experience as a Data Engineer – must
• Hands-on experience with ETL processes – must
• Strong programming skills in Python – must
• Experience working with Airflow – must
• Excellent command of SQL – must
• Experience with dbt – must