Company Description

Cust2Mate is a leading provider of smart shopping cart technology, revolutionizing the grocery retail landscape by enhancing the in-store shopping experience. Trusted by prominent grocery chains, our award-winning Smart Carts offer a seamless and engaging shopping journey for customers while addressing key challenges for retailers. By leveraging our solutions, retailers can increase customer satisfaction, boost sales with on-cart personalized promotions, reduce shrinkage, and optimize operations through automation and data analytics. Cust2Mate is driving the integration of online experiences into physical stores, transforming retail experiences worldwide. Join us in redefining how people shop in grocery stores.

Role Description

This is a full-time, on-site role for a Data Engineer located in Israel. The Data Engineer will take responsibility for designing, implementing, and maintaining data pipelines, supporting Extract, Transform, Load (ETL) processes, and building robust data systems for analytics and reporting purposes. The role requires fine-tuning data models, developing and managing databases, ensuring smooth data warehousing operations, and providing actionable insights through data analysis to support smarter business decisions. Collaboration with cross-functional teams is integral to ensure data infrastructure aligns with organizational goals.

Qualifications

• Proficiency in Data Engineering, including experience in building and managing scalable data infrastructure and systems.
• Expertise in Data Modeling and Data Warehousing for efficient organization and storage of data.
• Strong knowledge of Extract, Transform, Load (ETL) processes and tools.
• Experience with Data Analytics to derive meaningful insights from datasets.
• Problem-solving abilities, attention to detail, and the capacity to work collaboratively in multidisciplinary teams.
• Knowledge of programming languages such as Python, SQL, or similar is a plus.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field preferred.