Data Engineering & BI Team Lead

A mobile gaming company based in Tel Aviv develops high-quality mobile games designed to engage players for years.
The company combines creativity, data, and technology to build social gaming experiences loved by millions of players worldwide. This is a great opportunity to take a key role in scaling a successful live game and be part of its continued growth.

The company moves fast, thinks big, and deeply values the people behind its products. Teams thrive on curiosity, collaboration, and the excitement of turning great ideas into real impact.

About the Role

The company is looking for a hands-on BI Team Leader to lead a team of BI Engineers and scale its data infrastructure. This role owns the entire BI stack — from data modeling and pipelines to system reliability and cross-team integrations.

Key Responsibilities

-Hands-on design and implementation of dimensional data models, ETL/ELT pipelines (dbt), and data production processes

-Own data pipeline reliability, including monitoring, alerting, and SLAs

-Define and enforce team workflows: Git version control, CI/CD for dbt projects, code reviews, documentation standards, and sprint cadence

-Drive execution by prioritizing backlog, tracking deliverables, and ensuring projects meet deadlines

-Establish data-quality frameworks and best practices for testing, lineage, and governance

-Optimize performance of data models and Tableau extracts to balance freshness and cost

-Build and maintain core Tableau dashboards and reporting layers for cross-functional stakeholders

Qualifications

-5+ years of experience in BI or Data Engineering, with at least 2 years leading engineers

-Deep expertise in dbt (data modeling), SQL, and building scalable data pipelines

-Familiarity with cloud data warehouses (BigQuery, Snowflake, Redshift)

-Hands-on experience creating and maintaining Tableau dashboards

-Strong software engineering practices: Git, CI/CD, code reviews, documentation

-Proven track record of delivering BI projects on time and with SLAs

-Excellent communication skills, able to bridge technical depth and business clarity

-Experience integrating machine learning models into data pipelines

-Experience designing and building internal APIs for data access and consumption

-Experience in gaming or other high-velocity consumer-tech environments – advantage