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.
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.
As a Data Engineer (BI) 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.
Responsibilities- 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.
Must have:
- 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.
Nice to have:
- 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.
What We Do
Introducing Finubit, a purpose-driven company that is revolutionizing the banking industry. As a new subsidiary of Bank Leumi, our mission is to migrate existing banks, currently relying on old on-prem core systems, to cutting-edge cloud-native architecture solutions. We are committed to delivering exceptional value to our clients by leveraging the power of cloud technology and transforming their traditional banking operations into agile, scalable, and secure platforms. Our team of experts is dedicated to ensuring a seamless migration process, enabling financial institutions to unlock the full potential of cloud-based solutions. With the backing of Bank Leumi, one of the leading banks in the industry, we have the resources and expertise to deliver exceptional results. Our plan is to become a private company following the successful delivery of our Minimum Viable Product (MVP), solidifying our position as a trusted partner in the industry. Join us at Finubit and be part of the exciting journey as we reshape the future of banking technology and drive innovation in the financial sector. Together, we will transform the way banks operate and empower them to thrive in the digital age.
