Data Engineer

If you shop online (and who doesn’t these days?), then chances are you’ve already interacted with Yotpo. We’re a leading eCommerce retention marketing platform, on a mission to help brands of all sizes turn one-time shoppers into customers for life. Loyalty programs, SMS and email marketing, subscriptions, and reviews are our bread and butter, but we have more solutions up our sleeve, too.

We have teams across the world, including the US, Canada, UK, Israel, Bulgaria, and Australia — and we’re still growing. Our primary goal is to deliver the best technology in the industry.

You can hear all about it in our latest brand video.

Sounds exciting? Then read on, because we’re in pursuit of the best and the brightest minds to help us achieve our vision.

Now, let's talk about you. Are you a talented and experienced Data Engineer? If so, we want you to be part of our dynamic Data Engineering Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.

What you'll do:

• Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
• Managing data pipelines from multiple sources, including designing, implementing, and maintaining
• Translating business priorities into data models by working with business analysts and product analysts
• Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and softwares engineers
• Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance
• Work independently while considering all functional and non-functional aspects and provide high quality and robust infrastructures to the organization
  
  

• Bachelor's degree in Computer Science, Industrial engineering, Maths, or other numerate/analytical degree equivalent
• 3+ years of experience working as a BI Developer / Data Engineer or a similar role
• Advanced proficiency and deep understanding of SQL
• Skills in data modeling, business logic processes, as well as experience with DWH design
• An enthusiastic, fast-learning, team-player, motivated individual who loves data
  
  

• Experience with Python
• Experience working with DBT (big advantage)
• Knowledge in BI tools such as Tableau, Looker or Superset
• Experience working with DWH, such as BigQuery/Snowflake/Redshift
• Experience working with Spark, Kubernetes, Docker.
• Experience working with Databricks
  
  

• Track to success – work in a dynamic organization with ambient and laid-back office atmosphere + best coffee in town
• Individualized career development, rewards and recognition.
• Work-life balance – 25 days paid vacation with add-ons for loyalty, regular team buildings and celebrations in and outside the country
• Additional health insurance package
• Internal mobility program and refer-a-friend program
• Managing a fixed monthly budget for social benefits thru Re:Benefit – a flexible online benefits solution
• Food vouchers – monthly
• E-learning portals and knowledge sharing sessions.
• Company backed Hackathons, Tech conferences, workshops events, etc
• Stocked kitchen and bar.
• Equity in options.
• Hybrid working - 2 days/week in the office.