We are seeking a Senior Data Engineer to architect, build, secure, and optimize enterprise-grade data platforms and end-to-end pipelines, while leading AI-assisted engineering practices across the team.
Requirements
- 6–10 years of professional experience in Data Engineering.
- Strong expertise in Python (pandas, asyncio, OOP, typing, packaging, pytest).
- Hands-on experience with Snowflake at enterprise scale.
- Advanced SQL skills—optimizing complex joins, window functions, CTEs, and performance tuning.
- Strong cloud background: AWS, Azure, or GCP.
- Deep understanding of data warehousing concepts: dimensional modeling, star schemas, data marts, CDC/SCD, modeling for high-volume pipelines.
- CI/CD experience with GitHub Actions/Azure DevOps/GitLab CI.
- Experience with IaC tools like Terraform/Bicep.
- Strong understanding of DevSecOps practices: secrets management, IAM design, vulnerability scanning, zero trust principles.
- Experience with orchestration tools (Airflow/ADF/Prefect/Step Functions).
- Excellent communication and stakeholder management skills.
- Demonstrated AI-aware engineering mindset, including: GitHub Copilot adoption, Critical evaluation of AI outputs, Coaching others in safe and effective AI usage.
Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
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