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bigquery terraform python kubernetes airflow📋 Description
- Design and implement enterprise-scale data infra strategies and standards.
- Build and optimize multi-region data pipelines for petabyte-scale data with 99.9% reliability.
- Lead cost analyses; optimize data stack to reduce infra spend and improve performance.
- Provide technical guidance to data engineers; drive DataOps, security, governance.
- Evaluate emerging technologies; run PoCs; lead roadmap for data infra modernization.
🎯 Requirements
- 7+ years in data platform/engineer roles; architecture and scaling.
- Extensive experience with Google Cloud Platform, Kubernetes, Terraform; IAM security.
- Orchestrate data pipelines with Airflow or Dagster; deploy to cloud; BigQuery.
- Python programming; strong software development principles.
- Troubleshoot data infra; strong communicator to technical and non-technical audiences.
- API development with FastAPI; data governance; CI/CD for data projects; FinOps.
🎁 Benefits
- Free comprehensive health insurance for you and your children.
- Parent Care: extra leave on top of legal parental leave.
- Free mental health and coaching services through Moka.care.
- Flexible remote policy for EU countries and the UK.
- Lunch voucher with Swile card.
- Up to 14 RTT days per year.
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