Data Engineer

📋 Description

• Design and build data pipelines/flows for ML use cases
• Implement data versioning practices
• Deploy and manage flows in orchestration tools
• Improve and maintain CI/CD pipelines
• Manage Python dependencies (Poetry, uv)
• Deploy data scientists' scripts and models from notebooks to production

🎯 Requirements

• 3–5 years of experience as a Data Engineer
• Strong proficiency in Python
• Experience with distributed systems for big data processing (Dask, Spark)
• Experience building ETL pipelines
• Experience building reliable, maintainable data pipelines
• Hands-on experience with GCP core data services (Cloud Storage, BigQuery, Cloud Build, GKE)

🎁 Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)