
Founded in 2010, Stargo is a private company that aims to revolutionize the freight forwarding and supply chain industry by automating and optimizing routing and pricing in real-time in seconds. Using our Decision Support System (DSS) with extensive artificial intelligence capabilities, we offer dynamic optimized pricing and guaranteed payment (through a global banking network), maximizing the efficiency of the cargo shipping quote generation process and eliminating negative working capital on successful quotes. We use proprietary cloud-based big data, machine learning and optimization engines to optimize prices from tens of thousands of global carriers, as they rapidly change. Our artificially intelligent engine is the one way to make sense of the time-consuming and labor-intensive traditional pricing practices. Our vision is to see the freight forwarding, shipping and logistics industries experience a digital transformation, making them epically more efficient, profitable, reliable and robust.

Founded in 2010, Stargo is a private company that aims to revolutionize the freight forwarding and supply chain industry by automating and optimizing routing and pricing in real-time in seconds. Using our Decision Support System (DSS) with extensive artificial intelligence capabilities, we offer dynamic optimized pricing and guaranteed payment (through a global banking network), maximizing the efficiency of the cargo shipping quote generation process and eliminating negative working capital on successful quotes. We use proprietary cloud-based big data, machine learning and optimization engines to optimize prices from tens of thousands of global carriers, as they rapidly change. Our artificially intelligent engine is the one way to make sense of the time-consuming and labor-intensive traditional pricing practices. Our vision is to see the freight forwarding, shipping and logistics industries experience a digital transformation, making them epically more efficient, profitable, reliable and robust.
🚀 **We're Hiring: Data Engineering & BI Tech Lead** 🚀
**Location:** Ra'anana (On-site, full-time)
We’re looking for a hands-on **Data Engineering & BI Tech Lead** to join our growing data group.
In this role, you’ll lead a small, talented team (2 Data Engineers + 1 BI Developer) and take ownership of end-to-end data architecture, ETL processes, and large-scale DB migrations — all while staying deeply technical.
Design and build robust ETL pipelines and data flows (AWS Lambda, Step Functions, SQS).
Lead the migration to our next-generation data infrastructure (RDS → /Mongo/DynamoDB).
Define and implement scalable data architecture and modeling patterns.
Collaborate with BI to deliver actionable insights using Power BI.
Work closely with LLM-based and Agentic systems to enable intelligent data automation.
Drive best practices for cost-efficient, observable, and maintainable data solutions.
**Core:** AWS (Lambda, Step Functions, SQS, DynamoDB, RDS, API Gateway), Python, Power BI, MongoDB
**Preferred:** Agentic, Athena, OpenSearch, Kafka, Kubernetes
5+ years of hands-on experience in Data Engineering.
Strong Python skills (ETL, data processing, APIs).
Proven experience with AWS serverless architectures.
Solid understanding of both relational and NoSQL data modeling.
Experience building or leading technical teams.
-Experience with develop BI dashboard
If you’re a builder who loves to get your hands dirty with code, architecture, and real impact — **let’s talk.**
📩 **Write to me directly here on LinkedIn.**