Kueski Tech Stack

Digital lending platform for underbanked Mexican consumers

Financial Services Guadalajara, Jalisco 501–1,000 employees Founded 2012 Privately Held

Kueski is Mexico's largest online consumer lender, serving borrowers excluded from traditional banking. The tech stack—dbt, Databricks, Delta Lake, Kafka, and Go—reflects a data-first architecture built for real-time decisioning and fraud detection at scale. Active projects span credit decisioning, fraud platforms, and Kafka event pipelines, while hiring velocity has slowed; current openings cluster heavily in product and data roles, suggesting a phase of consolidation around analytics and mobile experience rather than rapid headcount expansion.

Tech Stack 13 technologies

Core Stackdbt Databricks AWS Delta Lake Tableau Apache Airflow Go Kafka Datadog Amplitude Mixpanel Google Analytics SQL

What Kueski Is Building

◆Challenges

Improving onboarding experience
Operational bottlenecks
Enhancing transactional experience
Financial data infrastructure
Complex financial logic
Scaling large-scale data processing
Streamlining kyc process
Reliability and scalability
Observability and performance
Underperforming segments

▲Active Projects

Kueski app mobile experience
Mobile-first design strategy
Financial reporting data models
Etl pipelines in databricks
Automated tableau dashboards
Credit decisioning system
Fraud detection platform
Real-time analytics platform
Kafka event pipelines
Scalable go microservices

Hiring Activity

Decelerating15 roles · 3 in 30d

Department

Product

Data

Marketing

Design

Engineering

Finance

Sales

Support

Seniority

Senior

Director

Lead

Staff

Notable leadership hires: Design Lead, Customer Service Lead, Product Director

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About Kueski

Founded in 2012 and headquartered in Guadalajara, Kueski operates as a fintech lender targeting consumers ineligible for traditional bank loans in Mexico. The company has attracted backing from multiple institutional investors and angel founders. With 501–1,000 employees, Kueski runs a technology-driven operation centered on data analysis, machine learning, and risk modeling. The business model relies on underwriting speed and accuracy; current work addresses KYC streamlining, financial data infrastructure, and operational scalability to support lending volume.

HeadquartersGuadalajara, Jalisco

Company Size501–1,000 employees

Founded2012

Hiring MarketsMexico

Frequently Asked Questions

What tech stack does Kueski use?

Kueski's core stack includes dbt, Databricks, Delta Lake, Kafka, Go, AWS, Tableau, Apache Airflow, SQL, Datadog, Amplitude, Mixpanel, and Google Analytics—optimized for real-time analytics, ETL, and credit decisioning.

What is Kueski building?

Active projects include a mobile app redesign, credit decisioning system, fraud detection platform, Kafka event pipelines, real-time analytics platform, and scalable Go microservices. Financial data infrastructure and observability are focal areas.