Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Lendbuzz

Data Engineer

Lendbuzz

Data Engineer developing scalable data pipelines at Lendbuzz. Collaborating on data architecture and supporting AI/ML initiatives in a dynamic team environment.

Posted 5/10/2026full-timeTel Aviv • 🇮🇱 IsraelMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftAWSBigQueryCloudPython

About the role

Key responsibilities & impact
  • Develop, deploy, and maintain scalable, highly reliable, and idempotent ELT data pipelines using Python and orchestration tools like Airflow.
  • Lead data transformation and modeling efforts within our cloud data warehouse (e.g., Snowflake, AWS) using dbt, ensuring adherence to modern analytics engineering best practices.
  • Architect and grow our centralized semantic layer to establish a "single source of truth" for business metrics.
  • Implement rigorous data validation, testing, and monitoring to ensure data integrity.
  • Design intuitive, long-term data infrastructure solutions that empower business stakeholders, analysts, and developers to easily and independently query organizational data.
  • Partner closely with Backend developers, BI analysts, architects, and business decision-makers to translate complex business requirements into efficient technical architectures.

Requirements

What you’ll need
  • Bachelor’s degree in CS or other relevant field.
  • 3+ years of proven experience as a Data Engineer, Analytics Engineer, or similar role.
  • Strong proficiency in Python, particularly for data processing and pipeline orchestration.
  • Experience in Data Modeling using dbt or equivalent.
  • Experience with Data Warehouse technologies like Snowflake, BigQuery, Redshift, etc.
  • Experience with Orchestration platforms like Airflow, Luigi, Dagster, etc.
  • Experience with Semantic Data Layer technologies like MetricFlow, Cube or others.
  • Experience in working and delivering end-to-end projects independently.
  • Experience with at least one cloud provider, preferably AWS.
  • Strong written and verbal skills in Technical English.

Benefits

Comp & perks
  • 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.

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythondata processingpipeline orchestrationdata modelingdbtdata warehouseSnowflakeBigQueryRedshiftdata validation
Soft Skills
communicationcollaborationproblem-solvingindependencetechnical writing
Certifications
Bachelor’s degree in CS