Open Positions

Senior Data Engineer

Tel Aviv, Israel · Full-time · Senior

About The Position

At Fabric, we enable retailers and brands to profitability scale both their online and brick-and-mortar business with a high density, high-throughput automated fulfillment platform. With its proprietary software-driven robotics, Fabric is developing a micro-fulfillment solution that enables businesses to increase their fulfillment capacity and overcome labor scarcity, guarantee accuracy, and meet growing consumer demand. Whether it’s for e-commerce fulfillment in a distribution center, back-of-store fulfillment, or B2B replenishment, Fabric enables brands to control costs while delivering an engaging, branded experience that helps strengthen their customer relationships.

Founded in 2015, Fabric has raised $338 million to date and is backed by Aleph, Corner Ventures, Canada Pension Plan Investment Board (CPPIB), Evolv (Kraft Heinz), Innovation Endeavors, La Maison, Playground Ventures, and Temasek. 

The Role:

We are looking for a Senior Data Engineer to join our Data team in Israel.

As a Senior Data Engineer, you will design and implement solutions for the company’s data infrastructure, including data lake, data pipeline and client libraries.

You will write code, leverage managed solutions, open-source tools, and industry best practices to ensure our data is reliable, standardized and reusable.

You will work closely with researchers, product managers and engineers to make sure the data meets the business needs, while improving the scalability and robustness of the system.

What you'll do:

  • Make data standardized and reusable, from architecture to production
  • Keep our data consistent, reliable, and reproducible
  • Manage data pipelines and ETLs that collect and transform data to support ML models, analysis, and reporting
  • Build the tools and methodologies to support the scale of our system while increasing development velocity


Who you are:

  • 3+ years of experience in SW development/as a Data Engineer
  • Experience in similar challenges with cloud environments - AWS, Azure, or GCP
  • Deep understanding of different database types. Relational, Document, Graph, etc.
  • Proficiency in Python or other high-level language
  • Passionate about solving high scale problems
  • Experience with building and maintaining data pipelines and ETLs

Apply for this position