Energy Data Analyst (Rule Engineer) (f/m/d) - Metrify Smart Metering

Company Overview

We are Metrify Smart Metering, Germany’s largest competitive smart metering operator, and a new strategic spin‑off initiative by Enpal. Are you ready for one of the great infrastructure challenges of the 2100s? To truly transform into a decentralized power grid that can support a fully electrified, renewable future, millions of homes need to be equipped with smart meters and control systems. That’s why we are performing the fastest smart meter roll‑out in the German market at unprecedented scale, shaping the way this digitally transformed grid will operate. Our mission is to enable utilities, grid operators, and energy providers to install and operate smart meters. Our service portfolio covers all aspects of metering operations: from electricity meter installation and market communication to data management and clearing. While Metrify emerged from Enpal, we now operate independently in the market, serving a broad range of commercial customers, energy suppliers, and municipal utilities.

About The Team

You’ll be joining a team of 4 engineers, working on projects from scratch. You will be reporting directly to the Technical Product Manager and collaborating closely with non‑technical stakeholders and the tech team.

Job Description

We are looking for an Energy Data Analyst (Rule Engineer) (f/m/d) 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. You’ll 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.

Responsibilities

• Design and maintain robust data models: build and validate data models that support regulatory market communication, device operations, and forecasting use cases.
• Ensure data quality and process reliability: analyze data quality, detect anomalies, and propose improvements across our metering and backend processes.
• Translate and operationalize complex rules: convert regulatory and operational requirements into precise, maintainable, and auditable decision logic within our data platform.
• Structure and validate business requirements: transform ambiguous needs into clear, testable rule definitions (e.g., decision tables, condition trees, pseudocode) with strong traceability.
• Implement and optimize rule‑driven logic: develop, test, and refine logic using SQL and Python within our current tech stack (Snowflake, Azure), ensuring performance and scalability.
• Collaborate and document: work closely with product, engineering, and operations teams, while maintaining clear documentation of rule behavior, dependencies, and change history.

Qualifications

• At least 4 years of hands‑on experience in Data Analysis or Analytics Engineering, ideally in an infrastructure‑heavy or regulated environment.
• Hands‑on experience with SQL, Python, and large, complex datasets, including raw time series data. Experience cleaning and transforming data into actionable insights. Also experience translating operational rules into decision logic.
• Familiarity with Azure, Snowflake, dbt, or data modeling concepts (dimensional modeling, staging layers) is a nice‑to‑have, as is experience with energy market data flows or smart metering.
• Clear written and spoken English. Knowledge of German is a strong plus.
• 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.

Benefits

• Work in Germany's first green unicorn and actively shape the solar energy revolution.
• Highly motivated and diverse team with more than 65 different nationalities.
• Hybrid working model after the pandemic.
• Modern office in Berlin‑Friedrichshain with ping‑pong table, yoga corner, roof terrace and stocked drinks fridges.
• Kick‑start at Enpal: onboarding day to meet the team and founder Mario.
• Stay up to date through monthly all‑hands meetings and Lunch & Learn sessions.
• Legendary team spirit and unforgettable team events.
• Strong feedback culture using Culture Amp.

At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind.