Senior Python Engineer with GCP

Our requirements

• Minimum 6–7 years of commercial software engineering experience.
• Strong Python backend development experience and proven delivery of backend services.
• Hands-on experience with Pydantic, including models, validators, settings management and type enforcement.
• Solid knowledge of designing, implementing and consuming REST APIs; GraphQL is a plus.
• Substantial experience with Apache Airflow, including DAG design, operators, sensors, hooks and XCom usage.
• Experience deploying and operating workflows in Google Cloud Composer.
• Strong understanding of GCP concepts and practical experience with BigQuery, GCS, Pub/Sub, IAM and Cloud Functions.
• Familiarity with API authentication standards such as OAuth2, JWT and API keys.
• Proficiency in SQL for data access and validation tasks.
• Experience with Git, CI/CD pipelines and Docker-based development workflows.

Optional

• Experience with GraphQL.
• Advanced data engineering experience with production-scale pipelines.
• Proven track record building reusable Airflow operators, hooks and utilities.
• Experience designing cloud-native backend architectures at scale.

Your responsibilities

• Design, implement and maintain Apache Airflow DAGs for data orchestration and automation.
• Manage and optimize GCP Cloud Composer environments and related configurations.
• Develop robust backend services and REST APIs using Python and appropriate frameworks.
• Develop and consume REST APIs; GraphQL experience is an advantage.
• Use Pydantic for schema definition, data validation, type safety and consistency across services and Airflow tasks.
• Integrate pipelines and services through API interactions, ensuring proper authentication, retries, idempotency and standardized response handling.
• Develop reusable Airflow components such as operators, hooks and utilities to promote consistency and reuse.
• Work with GCP services including BigQuery, Google Cloud Storage, Pub/Sub, IAM and Cloud Functions.
• Implement logging, monitoring, alerting and automated testing practices to ensure reliable pipeline execution in.
• Collaborate with data engineering, platform and product teams to deliver end-to-end solutions.
• Troubleshoot production incidents, perform root-cause analysis and implement durable fixes.

About the project

This is how we organize our work

This is how we work on a project

• Continuous Deployment
• Continuous Integration
• documentation
• issue tracking tools

What we offer

• Opportunity to work on large-scale data and cloud projects for a major international client.
• Collaboration with cross-functional teams including platform, data engineering and product owners.
• Remote working.
• Unique TEAL culture, relationship- and respect-driven community, non-corporate atmosphere.
• Agile approach and no bureaucracy.
• Outstanding integration trips to various places in Europe.
• Activities to support your well-being and health.
• Luxmed Gold Extended medical care and Multisport Plus benefit.

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities
• integration events

Recruitment stages

• 1.
  Screening Call
• 2.
  Cultural Fit Interview
• 3.
  Technical Interview
• 4.
  Final Round Interview

YOUR ITEAMS sp. z o.o.