Energy Data Analyst; Rule Engineer; f/m/d - Metrify Smart Metering
Verfasst am 2026-01-17
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IT/Informationstechnik
Daten Analyst, Datensicherheit, Dateningenieur, Data Science Manager
Company Description
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 DescriptionWe 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
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You’ll convert regulatory and operational requirements into precise, maintainable, and auditable decision logic within our data platform.
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You’ll transform ambiguous needs into clear, testable rule definitions (e.g., decision tables, condition trees, pseudocode) with strong traceability.
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You’ll build and validate data models that support regulatory market communication, device operations, and forecasting use cases.
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You’ll analyze data quality, detect anomalies, and propose improvements across our metering and backend processes.
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You’ll develop, test, and refine logic using SQL and Python within our current tech stack (Snowflake, Azure), ensuring performance and scalability.
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You’ll work closely with product, engineering, and operations teams, while maintaining clear documentation of rule behavior, dependencies, and change history.
, ideally in an infrastructure‑heavy or regulated environment.
. You also 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.
. Knowledge of German is a strong plus.
Benefits:
- Work in Germany's first green unicorn and actively shape the solar energy revolution.
- The sun shines all over the world - at Enpal you will find a highly motivated and diverse team with more than 65 different…
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