Data Engineer

If you're into online shopping (who isn't these days?), chances are you've crossed paths with Yotpo. We're all about eCommerce retention—helping brands of every size turn one-time shoppers into lifelong customers.

Think loyalty programs, SMS and email marketing, and reviews—it's what we do best. Plus, we've got more tricks up our sleeve.

With teams spread across the globe—from the US and Canada to the UK, Israel, Bulgaria, and Australia—we're growing fast. Our main mission? Delivering cutting-edge technology that sets new standards in the industry.

Sounds exciting? Then read on, because we’re looking for curious professional talents to be a part of building the future of the e-commerce industry.

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

What to bring:

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

Bonus points for:

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

What we offer:

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.

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 - 3 days/week in the office.

#LI-Hybrid