Data Engineer (Fintech) – Kazakhstan

InDrive.Money is a new fintech vertical on a mission to fight financial injustice by giving gig workers fair access to essential financial services. Operating in 4 countries and rapidly expanding, we offer loans and financial products to people who often lack traditional credit histories — using their performance on the inDrive platform as a key source of truth.Our vertical is at the intersection of technology, social impact, and data, and we are building a cutting-edge financial ecosystem from the ground up. Data is at the core of our product, from powering risk models to driving decisions in real time.

We’re looking for a Data Engineer who’s excited by the opportunity to build large-scale data systems that directly impact financial inclusion for underserved communities. You’ll collaborate closely with product managers, risk analysts, developers, and finance teams to shape how data is captured, processed, and activated across the fintech vertical.

• Develop the data-driven culture within the company;
• Develop 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 K8S, Terraform;
• Automate testing, validation, and monitoring of data;
• Participate in system design and architectural decision-making;
• Languages: Python, SQL;
• Frameworks: Spark, Apache Beam;
• Storage and analytics: BigQuery, GCS, S3, Trino, other GCP and AWS stack components;
• Integration: Apache Kafka, Google Pub/Sub, Debezium, Zero ETL;
• ETL: Airflow2;
• Infrastructure: Kubernetes, Terraform;
• Development: GitHub, GitHub Actions, Jira.

• Expert in Python 3.7+, experience with 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, clean architecture;
• Proactivity, responsibility, and the ability to take ownership;
• Would be a plus:
• Experience with high-load services;
• DevOps skills and CI/CD automation experience.

• Stable salary, official employment;
• Health insurance;
• Hybrid work mode and flexile schedule;
• Relocation package offered for candidates from other regions;
• Access to professional counseling services including psychological, financial, and legal support;
• Discount club membership;
• Diverse internal training programs;
• Partially or fully payed additional training courses;
• All necessary work equipment.