Data Engineer

Who We Are:

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.

What We Do:

Our Product, Data, R&D, and Marketing teams in Tel Aviv play a central role in driving that experience across our global portfolio of brands. We build the platforms, tools, and data capabilities that power the entire customer journey- from acquisition and personalization to checkout, retention, and customer experience. Working at the intersection of technology, data, and business, our teams build the products, platforms, and capabilities that drive growth, improve customer experiences, and influence millions of customer interactions worldwide.

The Data teams shape the business decision making process by providing the business units with the data as well as the insights about the risks and potential of their initiatives. We make sure to capture the opportunities that require strong data foundations, and we invest heavily on unlocking opportunities that require advanced data modeling.

What You’ll Be Doing:

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.

Roles and Responsibilities:

• 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.

Requirements:

• B.A / B.Sc. degree in a highly quantitative field
• 4+ years of hands-on experience in data engineering, building data pipelines, writing complex SQL, and structuring data at scale
• Fast learner with high attention to detail, strong ownership, and the ability to manage multiple priorities in a dynamic environment
• Strong communication skills with the ability to partner effectively with both technical and business stakeholders
• Experience with Google Cloud data technologies (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or equivalent AWS/Azure data services
• Hands-on experience with dbt for data transformation and modeling
• Practical experience using AI tools (e.g., Claude, Cursor, GitHub Copilot, etc.) to improve development workflows and productivity
• Experience building internal data tools, automation workflows, or AI-powered solutions
• High business intuition and analytical mindset, with a strong sense of how to turn raw data into insights and impact
• Fluent English and experience working with global teams

Nice to Have:

• Experience in designing and building scalable data systems for various data applications
• Background in data-driven companies in large-scale environments

The responsibilities described above are not exhaustive. You may be asked, from time to time and as reasonably required by business needs, to perform other duties consistent with your skills and role, including work for or on behalf of our related entities. This job description does not constitute.