Related skills
sql python dbt apache spark apache airflow📋 Description
- Join Data & AI Engineering to build pipelines powering Cube's regulatory platform.
- Design, build, and maintain data pipelines ingesting structured and unstructured content.
- Model data into clean, analytics-ready assets for AI workloads.
- Work in an Azure-native environment with data architects and AI teams.
- Support platform consolidation and both greenfield and legacy integration.
🎯 Requirements
- 3+ years of data engineering experience.
- Strong SQL and Python; production-quality code.
- Hands-on data pipelines in cloud environments.
- ETL/ELT patterns and orchestration tools (Airflow, dbt, ADF).
- Experience with structured and unstructured data.
- Knowledge of data quality principles.
- Comfort with version control, CI/CD, and engineering-grade delivery.
🎁 Benefits
- Global brand trusted by top financial institutions.
- Rapid growth and evolving products.
- Inclusive, diverse, and purpose-driven culture.
- Opportunity to shape architecture across platforms.
- AI/ML collaboration with leading engineers.
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