BI Developer

A leading global Data-Tech Unicorn that develops an advanced, cloud-based B2B sales intelligence and data sharing platform.

The system aggregates global business data to provide deep, contextual customer insights, while utilizing sophisticated AI recommendation algorithms to match sales and marketing teams with high-potential corporate prospects.

Financed by premier venture funds following substantial advanced funding rounds at a multi-billion-dollar valuation, the enterprise scales with a robust global workforce divided between its US offices and a core local R&D hub.

The local innovation center is located in a central Tel Aviv tech hub (highly accessible, situated directly on the train transit artery), operating under a flexible hybrid model of 2 days of remote work per week.

Position Overview-

• Senior Data Engineer joining an elite data-platform squad to build and optimize massive, production-grade data pipelines and real-time streaming pipelines.
• Architecting scalable data delivery infrastructures to feed advanced analytical layers and large-scale Generative AI (GenAI) data products.
• Extracting, transforming, and centralizing billions of data points to drive highly accurate target-matching algorithms and real-time business insights.
• Collaborating closely with AI researchers, backend teams, and data scientists using a cutting-edge technological stack: SQL, Python, Airflow, Snowflake, Databricks, and Kafka.
• Core Domain & Ecosystem- Data Engineering, ETL/ELT Pipelines, Data Warehousing, Python, Heavy SQL, Airflow, Snowflake, Databricks, Big Data Architecture, Stream Processing (Kafka), and GenAI Data Infrastructures.

Requirements-

• 5 years of proven software development experience, with a primary focus on core Data Engineering or BI Engineering architectures – Mandatory
• Extensive, professional engineering experience working within Product-oriented technology companies (SaaS/B2B/B2C tech products) – Mandatory
• Deep, expert-level mastery in writing, optimizing, and troubleshooting complex SQL queries over large distributed environments – Mandatory
• Production-grade programming capabilities in Python and experience with modern orchestration tools (Airflow) or enterprise modern data stacks (Snowflake/Databricks) – Mandatory