Principal Data Engineer - Hewlett Packard Enterprise

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:

Principal Data Engineer

Location: Israel

Type: Permanent - Full time

About the Role

We are seeking an experienced and forward-thinking Principal Data Engineer to lead the design and evolution of our next-generation data platform. This is a strategic, hands-on role for a technical leader who is passionate about building scalable, reliable, and high-performing data solutions that enable analytics, operational decision-making, and data-driven products across the organisation.

As a Principal Data Engineer, you will define the technical vision for our data ecosystem, establish engineering standards and best practices, and provide architectural leadership across the data platform. You will work closely with engineering, product, analytics, and business stakeholders to ensure our data capabilities continue to support current and future business needs.

What You'll Be Doing

Architecture & Strategy

Lead the architecture and long-term evolution of our enterprise data platform.

Define best practices for data modelling, transformation, orchestration, governance, and lifecycle management.

Evaluate and implement modern data technologies, tools, and frameworks that support our strategic objectives.

Partner with engineering and product leaders to shape the technical roadmap and data platform strategy.

Ensure data solutions are scalable, secure, reliable, and cost-effective.

Engineering & Delivery

Design, build, and oversee scalable data pipelines supporting batch, streaming, and event-driven workloads.

Develop high-quality data models and schemas for analytics, business intelligence, operational systems, and machine learning applications.

Implement robust frameworks for data quality, testing, observability, and lineage.

Build and optimise ingestion frameworks for APIs, event streams, file-based imports, and third-party data sources.

Drive continuous improvements in platform performance, scalability, resilience, and operational efficiency.

Technical Leadership

Act as a senior technical authority within the Data Engineering function.