Data Engineer (Python/BigQuery)

Location: Hybrid in Almaty, Kazakhstan

Company

hirify.global is a global technology company providing ride-hailing, freight, delivery, intercity travel, and financial services across 47 countries.

What you will do

• Build and operate batch and streaming ingestion into layered BigQuery data warehouses using Airflow, Debezium, Kafka, Pub/Sub, and Dataflow.
• Integrate marketing platforms, payment providers, S3 buckets, and third-party APIs, including schema contracts, backfills, and reconciliation.
• Develop Python-based platform tools, Airflow operators, connectors, Kafka Connect services, Cloud Functions, and API integrations.
• Build BigQuery CI/CD and change-management tooling with testing, migrations, sandbox validation, backup, and rollback workflows.
• Improve pipeline reliability through idempotency, deduplication, late-data handling, replay, monitoring, alerting, and automated testing.
• Develop governance and internal data tools, support analysts and business teams, and contribute to system architecture.

Requirements

• Strong practical Python experience with clean, structured, and tested code for services, tooling, and data pipelines.
• Solid software design skills, including OOP, modularity, and design patterns.
• Experience operating cloud services with CI/CD, containerization, monitoring, and alerting in GCP, AWS, or a similar environment.
• Familiarity with Kubernetes and Terraform, plus hands-on experience with BigQuery or another cloud data warehouse and confident SQL skills.
• Clear communication with non-engineering stakeholders and the ability to take ownership of technologies and services.
• Availability for hybrid work in Almaty, Kazakhstan.

Nice to have

• Advanced SQL, analytical data modeling, and experience optimizing warehouse performance and costs.
• Experience with CDC pipelines, Debezium, schema evolution, backfills, reconciliation, Flink, Apache Beam, or Dataflow.
• Knowledge of ITGC/SOX compliance, Databricks Unity Catalog, OpenMetadata, or Dataplex.
• Interest in building LLM-based agents and AI tooling for data.

Culture & Benefits

• Mentoring, career consulting, and professional learning programs.
• International collaboration and participation in the Global Talent Exchange Program.
• Company-wide challenges, awards, sports activities, volunteering, and social-impact projects.
• Language courses and internal speaking clubs.
• Benefits may vary depending on location.

Hiring process

• Application review.
• Offer.
• Hiring.