Analytics Engineer (Decision Logic / Rules) _metrify

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.

metrify is Enpals smart metering unit and the digital infrastructure for a smart energy ecosystem. With tens of thousands of iMSys units installed and scalable processes, we make energy measurable, controllable, and economically viable—and, together with our partners, we are laying the groundwork for new business models for the energy transition.

We are looking for an Analytics Engineer (Decision Logic / Rules) to join Metrify Smart Metering and take end-to-end ownership to develop mission-critical services, data workflows, and third-party integrations. In this role, you will transform complex operational rules into clear, maintainable decision logic; and build and optimize them in our data platform. Youll work closely with our Product and Operations teams to ensure our automation is not only correct, but scalable and auditable, forming the backbone of our smart metering platform. You will drive both what needs to be built and how to build it, turning shared ideas into working solutions, with full ownership from idea to deployment.

What youll do

Design and maintain robust data models: Youll build and validate data models that support regulatory market communication, device operations, and forecasting use cases.

Ensure data quality and process reliability: Youll analyze data quality, detect anomalies, and propose improvements across our metering and backend processes.

Translate and operationalize complex rules: Youll convert regulatory and operational requirements into precise, maintainable, and auditable decision logic within our data platform.

Structure and validate business requirements: Youll transform ambiguous needs into clear, testable rule definitions (e.g., decision tables, condition trees, pseudocode) with strong traceability.

Implement and optimize rule-driven logic: Youll develop, test, and refine logic using SQL and Python within our current tech stack (Snowflake, Azure), ensuring performance and scalability.

Collaborate and document: Youll work closely with product, engineering, and operations teams, while maintaining clear documentation of rule behavior, dependencies, and change history.

What youll bring

You have at least 4 years of hands-on experience in Data Analysis or Analytics Engineering, ideally in an infrastructure-heavy or regulated environment.

You bring hands-on experience with SQL, Python, and large, complex datasets, including raw time series data. You know how to clean and transform data into actionable insights. You also bring experience translating operational rules into decision logic.

Familiarity with Azure, Snowflake, dbt, or data modeling concepts (e.g., dimensional modeling, staging layers) is a nice-to-have, as is experience with energy market data flows or smart metering.

You communicate clearly in English. Knowledge of German is a strong plus.

You enjoy working in agile, cross-functional teams and take ownership beyond writing queries, contributing to the design and improvement of data systems as a whole.

What we offer

Work at Germanys first green unicorn - Play an active role in shaping the solar energy transition.