Senior Python Backend Engineer – Data / GCP

Technologies we use

This is how we organize our work

This is how we work

Your responsibilities

• Design, implement and maintain Apache Airflow DAGs
• Manage and optimize Google Cloud Composer environments
• Develop Python backend services and REST APIs
• Use Pydantic for schema modelling, validation and type enforcement
• Build integrations between pipelines and backend services through APIs
• Handle authentication, retries, idempotency and standardized response models
• Develop reusable Airflow operators, hooks and utilities
• Work with BigQuery, GCS, Pub/Sub, IAM and Cloud Functions
• Implement logging, monitoring, alerting and testing
• Troubleshoot production issues and perform root-cause analysis
• Collaborate with Data Engineering, Platform and Product teams

Our requirements

• Strong senior-level Python backend development experience
• Hands-on Apache Airflow + Google Cloud Composer experience
• Strong GCP / data platform experience
• Hands-on Pydantic experience
• Strong REST API development/integration experience
• Airflow: DAGs, operators, sensors, hooks and XComs
• GCP: BigQuery, GCS, Pub/Sub, IAM and Cloud Functions
• OAuth2, JWT and API-key authentication

Optional

• GraphQL
• Development of reusable Airflow components/frameworks
• Strong production troubleshooting and observability experience