Jobs at Tabby

Develop and maintain the corporate data warehouse using cloud technologies and best practices. Build data synchronization systems, EL/ELT/ETL pipelines, collection tools, and data governance and quality processes. Support business users, analysts, and machine learning engineers while optimizing data processing, storage, and infrastructure costs.

Develop and maintain the company data warehouse using cloud technologies. Responsibilities include building EL/ELT/ETL pipelines, synchronizing internal and external systems, creating data collection tools, supporting business users, analysts, and ML engineers, implementing data governance and quality practices, and optimizing infrastructure costs.

Develop internal data services, including a feature store, and build EL, ELT, and ETL pipelines. Integrate tools for data processing and storage while designing high-load, scalable systems. Support event-driven architectures and streaming pipelines, perform operational tasks, and work with APIs, message brokers, cloud platforms, databases, and CI/CD tooling.

Develop and maintain the corporate data warehouse, including data synchronization, ELT/ETL pipelines, collection tools, governance, data quality, and cost optimization. The role supports business users, analysts, and machine learning engineers while applying data architecture, modeling, system design, and cloud data-processing best practices.

Develop feature stores and other data services, build ELT and ETL pipelines, integrate data-processing and storage tools, and support scalable, high-load systems. The role requires expertise in Python, SQL, event-driven systems, streaming pipelines, system design, APIs, message brokers, and cloud data technologies. It is fully remote and involves operational data-engineering tasks.

Develop feature stores and other data services, build scalable ELT and ETL pipelines, integrate data-processing and storage tools, and perform operational tasks. The role requires designing high-load streaming and event-driven systems using Python, SQL, cloud platforms, databases, orchestration tools, APIs, and messaging systems.

Develop feature stores and other data services, build EL/ELT/ETL pipelines, integrate data-processing and storage tools, and support scalable high-load systems. The role requires expertise in Python, SQL, event-driven systems, streaming pipelines, system design, APIs, message brokers, and cloud-based data technologies. It is fully remote and involves operational responsibilities within an international fintech engineering team.

Develop feature stores and other data services, build scalable ELT and ETL pipelines, integrate data-processing and storage tools, and support operational data tasks. The role requires expertise in Python, SQL, event-driven systems, streaming pipelines, system design, APIs, message brokers, and cloud data platforms.

Develop and maintain the corporate data warehouse using cloud technologies and best practices. Responsibilities include building DWH solutions for business users, analysts, and ML engineers; synchronizing internal and external systems; creating EL, ELT, and ETL pipelines; integrating data governance and quality tools; and optimizing data-processing and storage costs.

Develop feature stores and other data services, build EL/ELT/ETL pipelines, and integrate data-processing and storage tools. The role requires designing scalable, high-load systems, event-driven architectures, streaming pipelines, APIs, and message-based services. Responsibilities also include operational support for internal data solutions and collaboration with modern cloud, database, and orchestration technologies.

Lead a team of product analysts focused on activation, engagement, and profitability for debit financial products. Conduct research, A/B tests, hypothesis analysis, and metric development; create visualizations and reports; collaborate with Product, Risk, Growth, and Marketing teams; and support data structure planning and quality improvements.

Develop and maintain the company data warehouse using cloud technologies and best practices. Build data synchronization tools, EL/ELT/ETL pipelines, and solutions supporting business users, analysts, and ML engineers. Implement data governance and quality practices, optimize storage and processing costs, and work with modern data architectures, modeling approaches, and technologies including Airflow, dbt, BigQuery, ClickHouse, PostgreSQL, Docker, GitLab CI/CD, and GCP.

Build and maintain scalable, distributed backend systems using Golang and microservices. Design high-load architectures, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate independently within an international engineering team while communicating effectively in English.

Build and maintain scalable, distributed backend systems using Golang and microservices. Design high-load architectures, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate independently within an international engineering team while communicating effectively in English.

Build and maintain scalable, distributed backend systems for a high-volume fintech platform. Develop services with Golang, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate independently within an international engineering team using PostgreSQL, Redis, Kubernetes, Google Cloud Platform, GitLab, and microservices architecture.

Build scalable, distributed backend systems using Golang and microservices. Develop high-load architectures, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate independently within an international engineering team while using PostgreSQL, Redis, Kubernetes, Google Cloud Platform, and GitLab.

Build and maintain scalable, distributed backend systems using Golang and microservices. Develop high-load architectures, integrate third-party APIs, contribute to product development, and write clean, testable, maintainable code. Collaborate with an international engineering team, communicate effectively in English, and work independently in a fully remote fintech environment.

Supports the financial crime control framework across onboarding, sanctions and PEP screening, KYB verification, enhanced due diligence, and transaction monitoring. Reviews and disposes of alerts and cases, investigates unusual activity, documents findings, maintains audit trails, escalates potential risks, and advises internal teams. The role also maintains compliance records and stays current with UAE AML/CFT regulations. Work is performed remotely and requires careful handling of confidential information.

Build and scale Tabby’s core Android systems in a remote engineering team. Responsibilities include developing Kotlin applications with Coroutines, Flow, Jetpack Compose, MVI/MVVM architecture, dependency injection, multi-module design, Retrofit, and Coil. The role requires strong software design, SOLID principles, collection knowledge, basic garbage-collection understanding, clear English communication, and ownership of high-impact projects.

Lead Saudi Arabia financial reporting and finance operations, including monthly and annual close, IFRS financial statements, SOCPA adjustments, ZATCA and SAMA filings, reconciliations, audits, treasury reporting, internal controls, and tax coordination. Support IFRS 9 provisioning, ERP reporting, process automation, and new product launches while mentoring junior team members and partnering with Compliance, Legal, Product, and Operations.