Senior Python Backend Engineer: Data & GCP, Airflow Pro

SQUARE ONE RESOURCES sp. z o.o.; Warszawa; On-site; PLN 180,000 - 230,000; Full time

Job summary

SQUARE ONE RESOURCES sp. z o.o. in Warszawa is seeking a Senior Python Backend Engineer – Data / GCP to design, implement and maintain data pipelines on Google Cloud Platform.

You will build REST APIs, develop reusable Airflow components, and collaborate with Data Engineering, Platform and Product teams to deliver scalable data services. You will work with Airflow DAGs, Google Cloud Composer environments, BigQuery, Pub/Sub, IAM and Cloud Functions, while focusing on reliability, observability

Qualifications

• Hands-on Apache Airflow + Google Cloud Composer experience.
• Hands-on Pydantic experience.
• Airflow: DAGs, operators, sensors, hooks and XComs.
• GCP: BigQuery, GCS, Pub/Sub, IAM and Cloud Functions.
• OAuth2, JWT and API-key authentication.

Responsibilities

• Design, implement and maintain Apache Airflow DAGs.
• Develop Python backend services and REST APIs.
• 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.

Skills

Apache Airflow

Google Cloud Composer

Python

REST APIs

Pydantic

OAuth2

JWT

API keys

Observability

Troubleshooting

Tools

BigQuery

GCS

Pub/Sub

IAM

Cloud Functions

XComs

Airflow operators

Airflow hooks

Job description

SQUARE ONE RESOURCES sp. z o.o. in Warszawa is seeking a Senior Python Backend Engineer – Data / GCP to design, implement and maintain data pipelines on Google Cloud Platform.

You will build REST APIs, develop reusable Airflow components, and collaborate with Data Engineering, Platform and Product teams to deliver scalable data services. You will work with Airflow DAGs, Google Cloud Composer environments, BigQuery, Pub/Sub, IAM and Cloud Functions, while focusing on reliability, observability