Data Engineer (Fintech)

TL;DR

Data Engineer (Fintech): Building large-scale data systems for a new fintech vertical with an accent on data processing, storage, and infrastructure design. Focus on leveraging Python, SQL, Spark, and Kubernetes to power risk models and drive real-time financial decisions for underserved communities.

Location: Hybrid work mode in Kazakhstan. Relocation package offered for candidates from other regions to Kazakhstan.

Company

hirify.global.Money is a new fintech vertical within hirify.global, building a cutting-edge financial ecosystem to provide fair access to essential financial services for gig workers.

What you will do

• Develop data-driven culture and processes for data processing, storage, cleaning, and enrichment.
• Design and maintain data pipelines from collection to consumption.
• Create infrastructure for storing and processing large datasets on Kubernetes and Terraform.
• Automate data testing, validation, and monitoring.
• Participate in system design and architectural decision-making.

Requirements

• Expert in Python 3.7+ with experience in PySpark.
• Deep knowledge of SQL.
• Extensive experience building ETLs with Airflow2.
• Industrial experience with Kubernetes.
• Understanding of data processing principles and algorithms.
• Excellent knowledge of OOP, design patterns, and clean architecture.

Nice to have

• Experience with high-load services.
• DevOps skills and CI/CD automation experience.

Culture & Benefits

• Stable salary and official employment.
• Health insurance and access to professional counseling services (psychological, financial, legal).
• Flexible schedule.
• Discount club membership and diverse internal training programs.
• Partially or fully paid additional training courses.
• All necessary work equipment.