About The Role :
We are seeking a talented and experienced Azure Data Engineer to join our team for a long-term collaboration. You will play a key role in supporting and advancing data pipelines, which complements our mobile-first solution. You'll work with a modern and diverse tech stack in a fast-paced startup environment, contributing to innovative solutions that empowers advanced detection and recognition algorithms.
Responsibilities :
Maintain server and database Azure cloud infrastructure :
Develop, improve, and maintain data pipeline projects :
Build and maintain integrations with other parts of the ecosystem :
Nice to have :
Proven expertise :
About Omnishelf :
Omnishelf empowers small-format retailers (like convenience stores, liquor stores, and petrol stations) with real-time shelf intelligence through our advanced AI and Computer Vision platform. We enable store teams to use standard mobile devices to instantly scan shelves, detect out-of-stocks, improve planogram compliance, and ultimately boost sales.
Our unique edge computing approach processes all data—scanning, analysis, reporting, and task creation—100% offline, directly on the device. This ensures fast, reliable store automation without any dependency on the cloud, eliminating downtime. We provide actionable insights to store employees and managers, driving efficiency and growth for retailers who are often underserved by complex technology. Our mission is : “Right Product. Right Shelf. Every Time.”
This is remote position, but we will only consider candidates from Central / East Europe - prefferably Poland or Romania based
About The Role :
We are seeking a talented and experienced Azure Data Engineer to join our team for a long-term collaboration. You will play a key role in supporting and advancing data pipelines, which complements our mobile-first solution. You'll work with a modern and diverse tech stack in a fast-paced startup environment, contributing to innovative solutions that empowers advanced detection and recognition algorithms.
Responsibilities :
Maintain server and database Azure cloud infrastructure :
Develop, improve, and maintain data pipeline projects :
Build and maintain integrations with other parts of the ecosystem :
Nice to have :
Proven expertise :
About Omnishelf :
Omnishelf empowers small-format retailers (like convenience stores, liquor stores, and petrol stations) with real-time shelf intelligence through our advanced AI and Computer Vision platform. We enable store teams to use standard mobile devices to instantly scan shelves, detect out-of-stocks, improve planogram compliance, and ultimately boost sales.
Our unique edge computing approach processes all data—scanning, analysis, reporting, and task creation—100% offline, directly on the device. This ensures fast, reliable store automation without any dependency on the cloud, eliminating downtime. We provide actionable insights to store employees and managers, driving efficiency and growth for retailers who are often underserved by complex technology. Our mission is : “Right Product. Right Shelf. Every Time.”
,[Maintain server and database Azure cloud infrastructure, Design, optimize, and query Big Data databases / warehouses / lakes. , Develop, improve, and maintain data pipeline projects : , Build and maintain integrations with other parts of the ecosystem : , Ensure our systems are secure, fast, and highly available. , Work with business requirements to provide insightful analytics, reports, and automations.] Requirements : Azure, Microsoft Fabric, Azure Functions, Azure SQL, PostgreSQL, Python, OpenCV, FastApi, SQL, CI / CD Pipelines, REST API, Azure Monitor, Prometheus, Grafana, Kubernetes, Docker, Terraform, Bicep, AKS Tools : . Additionally : Small teams.
Senior Data Engineer • Remote, Poland