Data Engineer

Posted:
5/10/2026, 1:32:38 AM

Location(s):
Tel-Aviv, Tel-Aviv District, Israel ⋅ Tel-Aviv District, Israel

Experience Level(s):
Mid Level

Field(s):
Data & Analytics

Workplace Type:
Hybrid

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we’ve built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

We are looking for an experienced and passionate Data Engineer to join the Data Engineering Team in our rapidly growing TLV R&D site!

You will be instrumental in maintaining current pipelines and expanding our data semantic layer to support both traditional analytics and our future AI/ML initiatives.

Responsibilities include working alongside developers from the BI and Backend teams, architects and business decision makers in order to implement data pipelines and improve data architecture and infrastructure.

The Data Engineering Team in Lendbuzz focuses on building long term, scalable self-service solutions for the organizational growing data needs.

What we offer:

- A culture that values product ownership, collaborative architectural planning, and building wins for your resume/portfolio as much as for the company.

- Smart, dynamic people with whom you can share the experience of building something unique.

- Competitive salary with opportunities for growth and advancement.

A Note on Recruiting Outreach

We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.

Lendbuzz

Website: https://lendbuzz.com/

Headquarter Location: Boston, Massachusetts, United States

Employee Count: 251-500

Year Founded: 2015

IPO Status: Private

Last Funding Type: Venture - Series Unknown

Industries: Artificial Intelligence (AI) ⋅ Financial Services ⋅ FinTech ⋅ Lending

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