AllCloud is a leader in amplifying organizations’ cloud potential through AI. We are seeking a Data Engineer (Hebrew Speaker) in Bucharest, Romania, to design and implement modern cloud-native data and AI platforms on AWS. You will join a collaborative team to build production-grade architectures for startups and enterprise customers, combining technical delivery, hands-on engineering, and stakeholder collaboration across analytics environments and GenAI solutions. Responsibilities: Design and build scalable cloud-native data platforms and modern lakehouse architectures on AWS under the guidance of senior leadership. Build and maintain robust ETL/ELT pipelines, streaming architectures, and data services. Apply best practices for data modeling, orchestration, governance, and observability to ensure platform scalability. Assist in architecting modern AI solutions, including RAG pipelines, vector search, and ML integrations. Work closely with customers and internal teams to translate business requirements into functional technical designs. Participate in troubleshooting, code reviews, performance tuning, and production support to drive platform reliability. Support modernization projects involving the transition from legacy ETL systems to cloud-based data warehouses. Requirements: Fluency in Hebrew and English is mandatory. 4–6 years of hands-on experience in Data Engineering, Data Architecture, or Backend Engineering. Solid experience implementing cloud-native architectures and leveraging AWS data services. Strong hands-on experience with at least 4-5 of the following: Databr

AllCloud is a leader in amplifying organizations’ cloud potential through AI. We are seeking a Data Engineer (Hebrew Speaker) in Bucharest, Romania, to design and implement modern cloud-native data and AI platforms on AWS. You will join a collaborative team to build production-grade architectures for startups and enterprise customers, combining technical delivery, hands-on engineering, and stakeholder collaboration across analytics environments and GenAI solutions. Responsibilities: Design and build scalable cloud-native data platforms and modern lakehouse architectures on AWS under the guidance of senior leadership. Build and maintain robust ETL/ELT pipelines, streaming architectures, and data services. Apply best practices for data modeling, orchestration, governance, and observability to ensure platform scalability. Assist in architecting modern AI solutions, including RAG pipelines, vector search, and ML integrations. Work closely with customers and internal teams to translate business requirements into functional technical designs. Participate in troubleshooting, code reviews, performance tuning, and production support to drive platform reliability. Support modernization projects involving the transition from legacy ETL systems to cloud-based data warehouses. Requirements: Fluency in Hebrew and English is mandatory. 4–6 years of hands-on experience in Data Engineering, Data Architecture, or Backend Engineering. Solid experience implementing cloud-native architectures and leveraging AWS data services. Strong hands-on experience with at least 4-5 of the following: Databr