About the job
Join Metrify Smart Metering, the leading competitive smart metering operator in Germany and an innovative spin-off from Enpal. Are you prepared to tackle one of the most significant infrastructure challenges of the 21st century? As we transition to a decentralized power grid to support a fully electrified and renewable future, millions of homes must be equipped with smart meters and control systems. At Metrify, we are executing the fastest smart meter rollout in the German market, reshaping the operations of this digitally transformed grid. Our mission is to empower utilities, grid operators, and energy providers to effectively install and manage smart meters, covering all aspects of metering operations including installation, market communication, data management, and clearing.
As part of our dedicated team of four engineers, you will engage in projects from the ground up, reporting directly to the Technical Product Manager and collaborating with both technical and non-technical stakeholders.
Job Overview: We are seeking an Energy Data Analyst (Rule Engineer) (f/m/d) to assume comprehensive responsibility for developing critical services, data workflows, and third-party integrations. In this pivotal role, you will transform intricate operational rules into clear, maintainable decision logic, optimizing them within our data platform. Your collaboration with the Product and Operations teams will ensure our automation not only operates effectively but is also scalable and auditable, forming the foundation of our smart metering platform. You will lead the development process, translating shared ideas into deployable solutions.
Key Responsibilities:
Design and Maintain Data Models: Create and validate data models that facilitate regulatory market communication, device operations, and forecasting.
Ensure Data Quality: Analyze and enhance data quality, detect anomalies, and recommend improvements in our metering and backend processes.
Operationalize Complex Rules: Translate regulatory and operational requirements into precise, maintainable, and auditable decision logic.
