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

metrify smart metering GmbH

Deutschland

Hybrid

EUR 60.000 - 80.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading smart metering firm in Germany is seeking an Energy Data Analyst (Rule Engineer) to develop critical services and data workflows. In this role, you will transform complex operational rules into decision logic and ensure data quality and process reliability. The ideal candidate will have over 4 years of experience in data analysis and proficiency in SQL and Python. This position also offers a hybrid working model and a diverse team environment in Berlin.

Leistungen

Work in Germany's first green unicorn
Hybrid working model
Modern office with amenities
Onboarding with the founder
Regular team events
Feedback culture

Qualifikationen

  • At least 4 years of hands-on experience in Data Analysis or Analytics Engineering.
  • Hands-on experience with SQL, Python, and large datasets including raw time series data.
  • Ability to translate operational rules into decision logic.
  • Clear communication in English; German knowledge is a plus.
  • Experience in agile cross-functional teams and ownership beyond writing queries.

Aufgaben

  • Design and maintain robust data models.
  • Ensure data quality and process reliability.
  • Translate and operationalize complex rules.
  • Structure and validate business requirements.
  • Implement and optimize rule-driven logic.
  • Collaborate and maintain documentation.

Kenntnisse

Data Analysis
SQL
Python
Data Modeling
Problem-solving

Tools

Azure
Snowflake
dbt
Jobbeschreibung
Overview

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

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

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 nationalities.
  • Would you rather keep your pet company at home or your colleagues at the office? Even after the pandemic, we offer you a hybrid working model
  • We fulfill every start-up cliché - in our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from a ping-pong table and yoga corner to a roof terrace and stocked drinks fridges.
  • Your kick-start at Enpal - Get to know the company, your team colleagues and our founder Mario on your onboarding day.
  • Stay up to date - Whether it's company figures at our monthly all-hands meetings or how a photovoltaic system works at the Lunch & Learn, you'll always know exactly what's going on.
  • Energy transition only works together - At Enpal, you can expect a legendary team spirit and unforgettable team events.
  • No mistakes, no progress - We live a strong feedback culture and grow with your input, either personally or anonymously via our feedback tool 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.

Energy Data Analyst Rule Engineer fmd Metrify Smart Metering • Berlin, BE, Germany

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