Data Engineer

Company Description

Stealth startup building an advanced Decision Intelligence layer that turns complex operational data into real-time, actionable decisions for mid-market companies and large enterprises.

We focus on solving high-impact inventory and demand challenges for companies operating with long lead times. The company is currently working with large design partners and progressing toward an initial production MVP.

Role Description

We are seeking a First Data Engineer for a full-time, hybrid role (Israel-based, with partial remote flexibility).

This is an early, high-ownership role shaping the core data foundation of the company.

You will design and build the core data and forecasting pipelines powering our Decision Intelligence engine.

The role is highly hands-on and focused on turning messy real-world data into reliable production systems. You will work closely with the founder to ingest data, build robust flows, structure time-series datasets, and support the development and deployment of forecasting logic that drives real business decisions.

Initial tech direction: Python, SQL, pandas, and cloud-native data infrastructure (exact architecture will be shaped together).

Your work will directly influence real inventory and demand decisions at enterprise scale.

Requirements

• Strong hands-on experience in Data Engineering and building production data pipelines
• Proven ability to design and implement robust ETL processes on messy real-world data
• High proficiency in Python and SQL (pandas required)
• Experience working with time-series or forecasting data - big advantage
• Familiarity with cloud environments (Azure/GCP/AWS) and containerized workflows - advantage
• Strong system thinking and problem-solving ability
• Comfortable working in an early-stage, fast-moving environment
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience)