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Data Engineer — Vision & MLOps, Cutting‑Edge Startup

Pacaya HR Experts · Center District, Israel

Data EngineeringRemote

About this role

The Senior Data Engineer will design and build scalable data platforms and pipelines that power advanced analytics and AI-driven solutions from the ground up. The role involves working on real-time, AI-ready data streaming pipelines built on Azure (Data Factory, Synapse, Event Hub), handling both structured and unstructured healthcare data at scale, including FHIR and DICOM. The individual will design end-to-end data platforms that enable advanced medical diagnostics, power AI models with high-quality, real-time data, and ensure full end-to-end data compliance across HIPAA, GDPR, and ISO 27001 standards. This is an opportunity to work at the intersection of cloud data engineering, real-time analytics, and healthcare AI, building secure, scalable systems that directly impact clinical decision-making and patient outcomes.

Skills & technologies

Must have

  • Azure
  • Data Factory
  • Synapse
  • Event Hub
  • SQL
  • Python
  • AWS
  • GCP
  • Data Modeling
  • Data Stacks
  • Orchestration Tools

Read full description

About the job Senior Data Engineer position! About the role: We’re building something new — and we’re looking for a Data Engineer to be part of it. Join a newly established Innovation Center in Israel, where data, AI, and cutting-edge technology come together to create real impact. In this role, you’ll design and build scalable data platforms and pipelines that power advanced analytics and AI-driven solutions from the ground up. You’ll work side by side with data scientists, software engineers, and research teams, turning complex data into reliable, high-quality foundations for innovative products and breakthrough technologies. This is a hands-on opportunity to shape architecture, influence direction, and help define how data drives innovation. Key responsibilities: You’ll work on real-time, AI-ready data streaming pipelines built on Azure (Data Factory, Synapse, Event Hub), handling both structured and unstructured healthcare data at scale — including FHIR and DICOM. The role focuses on designing end-to-end data platforms that enable advanced medical diagnostics, powering AI models with high-quality, real-time data while ensuring full end-to-end data compliance across HIPAA, GDPR, and ISO 27001 standards. This is an opportunity to work at the intersection of cloud data engineering, real-time analytics, and healthcare AI, building secure, scalable systems that directly impact clinical decision-making and patient outcomes. Requirements: At least 3 years of experience as a Data Engineer. Strong SQL skills and experience with data modeling. Hands-on experience with Python or similar languages. Experience with cloud platforms such as AWS, Azure, or GCP. Familiarity with modern data stacks and orchestration tools. Strong problem-solving skills and ability to work cross-functionally. Why join us! Be part of building something from the ground up. Work on cutting-edge, high-impact innovation projects. Collaborate with top-tier technical and research teams. Opportunity to influence architecture and technical direction.
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