Summary

This data engineer will build pipelines, model data, and create reporting tools for investment and asset management teams. The role uses Databricks, Python, SQL, Streamlit, and APIs in a renewable energy investment business.

Responsibilities

• Build and maintain scalable Databricks data pipelines
• Define schemas and evolve Databricks data models
• Automate manual data processes using Python
• Build performance dashboards and reports in Streamlit and HTMX
• Integrate internal and third-party systems via REST APIs
• Implement data validation, monitoring, and governance practices