Senior Data Engineer

Reposted 2 Days Ago
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Tel Aviv, ISR
Hybrid
Senior level
Consumer Web • eCommerce • Marketing Tech • Retail • Software
Yotpo, the leading eCommerce marketing platform.
The Role
As a Senior Data Engineer, you will build scalable data solutions, manage data pipelines, and collaborate with cross-functional teams to drive analytics.
Summary Generated by Built In

Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.

About the Role 

Are you an experienced Data Engineer ready to build the data foundation for the next wave of eCommerce discovery?

Join Yotpo's high-impact Discover R&D team, where we are revolutionizing how brands and products are found in the AI era. The future of eCommerce, shaped by Large Language Models (LLMs), is already visible in how consumers use tools like ChatGPT or Perplexity for shopping questions. Yotpo Discover is leading the mission to ensure brands remain visible, trusted, and cited in this new, AI-driven world.

Operating like an internal startup, our team is fast-paced, hands-on, and driven by curiosity. We rapidly experiment, build, and launch new AI-powered products that redefine brand-shopper connections in the age of conversational search.

As we explore this emerging domain, we’re looking for talented builders who thrive at the intersection of AI, Big Data, and experimentation.

Responsibilities
  • Architect Discovery Pipelines: Design and maintain high-throughput, low-latency data pipelines that process billions of events, ensuring reviews and visual UGC are instantly discoverable across channels.
  • Data Modeling for AI/Search: Build and optimize complex data models that support advanced search algorithms, LLM-based product summaries, and personalized shopper experiences.
  • Bridge Engineering & Data Science: Partner with AI Researchers to operationalize machine learning models that calculate "convertibility" and product relevance in real-time.
  • Scale for Growth: Own the end-to-end lifecycle of our data stack, ensuring it can handle the next 10x of business growth while maintaining strict reliability and observability.
  • Independent Impact: Lead technical initiatives from ideation to production, balancing the rapid experimentation needs of the Discover product with the stability of a core R&D system.
  • Promote Best Practices: Drive the evolution of our modern data stack (DBT, Databricks) by implementing "standards-as-code" and automated quality gates.
Requirements
  • Education: Bachelor’s degree in Computer Science, Mathematics, Industrial Engineering, or an equivalent analytical discipline.
  • Experience: 4+ years of hands-on experience as a Data Engineer or Backend Engineer with a strong data focus.
  • SQL Mastery: Advanced proficiency in SQL and deep understanding of modern data warehousing (Databricks, Snowflake, BigQuery, or Redshift).
  • Architecture & Modeling: Proven experience in designing data architectures for complex business domains, specifically those involving high-velocity event streaming or large-scale content indexing.
  • Ownership Mentality: A "builder" mindset with the ability to work independently in a fast-paced, startup-like environment within a global company.
Nice to Have (Strong Advantage)
  • DBT Expert: Extensive experience with DBT (Data Build Tool) for modular data modeling.
  • Python & Orchestration: Strong Python skills and experience with workflow tools (e.g., Airflow, Dagster).
  • AI/LLM Interest: Familiarity with integrating AI/LLM technologies (OpenAI, Anthropic) or vector databases.
  • Big Data Stack: Experience with Spark, Databricks, Kubernetes, and Docker.

BI & Visualization: Experience with Looker, Tableau, or Superset to help product analysts "discover" insights within our own data.

#LI-Hybrid

Top Skills

Airflow
BigQuery
Databricks
Dbt
Docker
Kubernetes
Looker
Python
Redshift
Snowflake
Spark
SQL
Superset
Tableau
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The Company
HQ: New York, NY
1,000 Employees
Year Founded: 2011

What We Do

Yotpo is the leading eCommerce marketing platform, helping thousands of forward-thinking brands like Rebecca Minkoff, MVMT, Bob’s Discount Furniture, and Steve Madden accelerate direct-to-consumer growth. Our single-platform approach integrates data-driven solutions for reviews, loyalty, SMS marketing, and more, empowering brands to create smarter, higher-converting experiences that spark and sustain customer relationships. We integrate with the tools online businesses use every day, including Google, Instagram, top eCommerce platforms, and the rest of the martech stack. Yotpo is a Forbes Cloud 100 company with offices worldwide including New York, London, Tel Aviv, Sofia, Australia and growing!

Why Work With Us

The primary perk of working at Yotpo is being surrounded by some of the most intelligent, driven and compassionate people you'll ever encounter. We all work very hard to become better professionals and better people.

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