עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
ABOUT FINUBIT
Finubit is building the modern banking platform that empowers financial institutions to
dramatically reduce time-to-market for new banking products. Our cloud-first architecture
meets the strictest regulatory requirements for security, auditing, and documentation
demanded by the financial services industry. We combine engineering excellence with deep
domain expertise to deliver solutions that are both innovative and compliant with banking
regulations including SOC 2, PCI-DSS, and local financial authority requirements.
TEAM CONTEXT
The Analytics Engineering team transforms raw banking data into trusted, analysis-ready
datasets. We build the data models and reporting infrastructure that power business
intelligence across Finubit, enabling data-driven decisions for product, operations, and
compliance teams.
ROLE SUMMARY
You'll define the architecture for Finubit's data model and analytics layer, establishing patterns
and practices that scale with business growth. You'll lead complex modeling initiatives, mentor
team members, and drive the strategic direction of our analytics infrastructure.
WHAT YOU'LL DO
Architect data models and schemas that support business intelligence at scale
Lead design and implementation of complex analytical data structures
Define standards and best practices for data modeling across the organization
Drive performance optimization for analytical queries and reporting workloads
Lead adoption of LLM-powered development across the team, mentor engineers on
effective usage, and develop enabling infrastructure
Mentor engineers and conduct technical reviews
Partner with leadership to translate business strategy into data architecture
Establish data quality and governance frameworks
Lead incident response and drive reliability improvements for BI systems
Evaluate and introduce new technologies and patterns
MINIMUM QUALIFICATIONS
Bachelor's degree in Computer Science, Data Sciences, Statistics, or related field, or
equivalent experience
5+ years of experience in data engineering with focus on analytics/BI
Expert SQL skills with deep PostgreSQL expertise
Strong Python skills: advanced data manipulation, automation, testing
Track record of designing and implementing data models at scale
Demonstrated success integrating LLM-powered tools into data engineering workflows
Performance optimization leadership
Experience establishing data quality and governance practices
Ability to translate business requirements into technical architecture
Experience mentoring engineers and leading technical initiatives
PREFERRED QUALIFICATIONS
Experience architecting analytics platforms from scratch
Deep expertise in PostgreSQL internals and optimization
Track record of establishing data modeling standards across teams
Experience in fintech with understanding of compliance requirements
Contributions to analytics engineering community
BENEFITS
Competitive salary
Pension fund (פנסיה קרן) - employer contribution above statutory minimum
Continuing education fund (השתלמות קרן)
Annual vacation days per seniority
Sick leave per law
(דמי הבראה) pay Recreation
Monthly meal allowance (Cibus)
Stock options eligibility
LOCATION
Tel Aviv, Israel — Hybrid (typically 3 days per week from office)
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.