Python / Data Engineer

We're looking for a Python Software Engineer with Data Engineering experience to join a global team building a large-scale Metering Data Platform. This is not a traditional Data Engineer role focused solely on Databricks notebooks and ETL development . The ideal candidate has a strong software engineering foundation and enjoys building scalable, production-grade applications. What You'll Do Build and maintain Python-based applications, APIs, and data services. Develop scalable data ingestion and processing solutions using PySpark and Databricks. Create reusable frameworks, CI/CD processes, monitoring, and testing capabilities. Collaborate with global teams to build a shared platform that aggregates customer usage data into a centralized data lake. Contribute to architecture decisions, engineering standards, and platform growth. Required Qualifications Strong Python software engineering background (Python Developer first, Data Engineer second) Experience with: Python Django and/or Flask PySpark Databricks REST APIs Object-Oriented Design Git Data Engineering experience including: Data pipelines and data lakes Spark optimization and performance tuning Data modeling and distributed systems Preferred: AWS (S3, Glue, Lambda) CI/CD and DevOps practices What We're Looking For: Someone who writes clean, maintainable code, enjoys solving complex engineering problems, and wants a voice in architecture and technical direction. If your background is primarily notebook development without significant software engineering experience, this likely won't be the right fit.