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Ashley Digital
Tel Aviv
Source: Ashley Digital careers · View original posting
From Ashley Digital's posting. “We” and “our” refer to the employer.
THE BIGGEST NAME IN HOME. THE BOLDEST TEAM IN E-COMMERCE.
Ashley Digital is the e-commerce engine behind Ashley Furniture Industries - one of the most recognized home brands in the world. As the world's largest manufacturer of home furnishings and the largest furniture store brand in North America, Ashley is in a category unto itself. Our team sits at the intersection of world-class retail and digital innovation, driving the e-commerce experience for millions of customers across every platform and touchpoint.
If you’ve shopped online for a mattress in the last decade, there’s a good chance you’ve already experienced our award-winning Nectar Sleep and DreamCloud.
We're a fast-moving, highly collaborative team operating at a transformational moment, and we're charged with shaping how people discover, explore, and buy home furnishings. Our expertise spans data science, performance marketing, product, and creative, and our work reaches millions of customers every day. It's a rare combination: the energy of a tech company, the stability of an industry leader, and the opportunity to build something truly significant.
If you're energized by transformation, collaboration, and meaningful impact at scale, Ashley Digital is where ambition meets opportunity.
We are looking for a brilliant Data Engineer- an independent, logical thinker who enjoys solving complex problems and building scalable data solutions. You will own and evolve the data foundations that power Product, Finance, Operations, and Business teams.
Working closely with diverse stakeholders, Analysts, and R&D teams, you will serve as a technical partner, translating complex business challenges into robust data models, pipelines, and infrastructure. You should be able to translate business and data requirements into scalable data pipelines and data models, integrating multiple internal and external data sources using the most appropriate technologies.
Beyond building pipelines, you will improve data quality, modernize existing data assets, automate manual workflows, and help create a clean, reliable, and scalable data ecosystem that supports the company's growth.
Design and build end-to-end data pipelines - From defining source structures and integrating APIs to delivering clean, trusted datasets that enable analytics, reporting, and operational workflows.
Translate business needs into scalable data solutions based on business priorities and the product roadmap, understand technical requirements, and deliver purpose-built pipelines and tools.
Act as the technical partner for Product, Finance, Operations, and R&D teams, translating business needs into scalable data models, pipelines, and internal tools while ensuring reliable, trusted data across the organization.
Write high-quality, maintainable code, while following best practices and leveraging modern data tooling and CI/CD principles.
Drive data quality and reliability - Monitor, validate, troubleshoot, and continuously improve data quality and pipeline reliability across the data platform.
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