ZYNETTTech Zyne is building the digital backbone of the energy transition. Our platform connects industrial energy assets to the cloud, processes terabytes of telemetry data, and makes that data actionable through dashboards and analytics.
We're looking for a Fullstack Engineer who can work across the entire stack: from Python backend services that process energy telemetry to dashboards that customers use every day.
Edge → Event Hub → Databricks
fault detection, gap filling, anomaly flagging
Write PySpark/SQL transformations for aggregation and analytics
Build REST APIs that serve processed data to frontend applications
Develop interactive dashboards and charts using
Create responsive UI components that handle real-time data updates
Implement filtering, drill-down, and export, as an example
Build connectors for weather APIs, energy price feeds, grid data
Implement data export pipelines for 3rd-party consumers
Handle authentication, rate limiting, and error recovery
Quality & Operations
Write tests for both pipelines and UI components
Monitor pipeline health and respond to data quality alerts
Support production issues related to data processing or visualization
5+ years of software engineering experience
Strong Python proficiency (FastAPI, Flask, or Django)
Hands-on experience with (Vue 3, Composition API) or similar modern frontend framework
PySpark, Pandas, or similar
Experience building and consuming REST APIs
Databricks and Delta Lake experience
Data visualization libraries , , ECharts)
Azure services (Event Hub, Functions, Storage)
Energy sector, IoT, or time-series data background
Work on both backend data systems and customer-facing visualizations
Direct impact on Austria's and Germany's energy transition
Small team, high autonomy, real customers, real data
Generous leave policy of 26 vacation days annually
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