senior Data Engineer ic 6+ yrs Hybrid · Posted Dec 8, 2025

About this role

HPE is hiring a senior-level Data Engineer based in Tel Aviv, Israel (hybrid). The posting calls out experience with Python, SQL, AWS, GCP and roughly 6+ years of relevant work.

Role
Data Engineer
Function
data engineering
Level
senior
Track
Individual contributor
Employment
Full-time
Location
Tel Aviv, Israel
Work mode
Hybrid
Experience
6+ years
Department
Engineering & QA
Posted
Dec 8, 2025
AI Summary
Senior Data Engineer designing and evolving next-generation data platforms with architectural expertise. Owns data platform architecture, builds scalable pipelines for batch/streaming workloads, defines engineering best practices, and leads technical strategy. Requires 6-10+ years experience with strong data systems design and modern technology evaluation skills.

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Job description

from HPE careers
Senior Data Engineer

  

This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   

We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.

This is an excerpt. Read the full job description on HPE careers →
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