We are looking for an AI Solutions Developer & ISCAR is looking for a Data Engineer to develop data solutions and contribute to the infrastructure supporting our data and AI services.
As part of our Data & AI Infrastructure team, you will work in a global manufacturing environment, supporting business decisions across operations, manufacturing, supply chain, and logistics. The role combines end-to-end BI development, data engineering, and infrastructure operations.
What You Will Do
Develop and maintain scalable data pipelines, ETL/ELT processes, and DWH solutions integrating multiple enterprise systems.
Deliver end-to-end BI solutions, from requirements gathering and data modeling to Power BI semantic models and dashboards.
Optimize SQL queries, data models, and pipelines, and implement data quality checks and monitoring.
Collaborate with business stakeholders, developers, and IT teams to turn business needs into practical data solutions.
Contribute to the maintenance and monitoring of AKS clusters and containerized data and AI services.
Develop and maintain CI/CD pipelines and support platform reliability through logging, alerting, and troubleshooting.
Support integrations with Azure AI Foundry and LLM services, including connectivity, authentication, and operational monitoring.
סוג משרה: מלאה

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience. At least 2 years of experience in data engineering or BI development in an enterprise environment. Strong SQL skills, including complex queries, stored procedures, and performance optimization. Hands-on experience with Power BI, including data modeling and DAX. Experience developing ETL/ELT processes, DWH solutions, and dimensional data models. Experience with data infrastructure and cloud environments. Strong analytical and self-learning abilities, with high-level English, spoken and written. Advantages Experience with Python, REST APIs, and system integration. Hands-on experience with Docker, Kubernetes/AKS, Git, and CI/CD pipelines. Familiarity with monitoring and logging tools such as ELK, Azure Monitor, or Prometheus and Grafana. Experience with Microsoft Fabric, Azure Data Factory, Databricks, or CDC tools such as Qlik Replicate. Familiarity with Azure AI Foundry, Azure OpenAI, or integrations with LLM services. Experience with ERP systems, AS/400, or global industrial organizations.