Analytics Engineer (Decision Logic / Rules) _metrify

Posted Yesterday
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Berlin, DEU
In-Office
Mid level
Greentech • Energy • Solar • Renewable Energy
The Role
Design and maintain data models, ensure data quality, translate regulatory and operational requirements into auditable decision logic, implement and optimize rule-driven workflows using SQL and Python, and collaborate with product, engineering, and operations to deploy scalable data platform solutions.
Summary Generated by Built In

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 Enpal’s 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. 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.

What you’ll do

  • 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.

What you’ll 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 Germany's first green unicorn - Play an active role in shaping the solar energy transition.

  • The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.

  • The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.

  • Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.

  • Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.

  • Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.

  • The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.

  • Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance.

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.

Skills Required

  • At least 4 years hands-on experience in Data Analysis or Analytics Engineering
  • Hands-on experience with SQL
  • Hands-on experience with Python
  • Experience working with large, complex datasets including raw time series data
  • Experience translating regulatory and operational rules into precise, maintainable decision logic
  • Experience implementing, testing, and optimizing rule-driven logic within a data platform
  • Familiarity with Azure, Snowflake, dbt, or data modeling concepts (dimensional modeling, staging layers)
  • Experience with energy market data flows or smart metering
  • Clear communication in English
  • Knowledge of German
  • Experience working in agile, cross-functional teams and taking end-to-end ownership
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The Company
4,994 Employees
Year Founded: 2017

What We Do

Enpal GmbH is a German greentech company providing all‑in‑one residential decarbonisation solutions: rooftop solar PV systems, battery storage, EV wallboxes, heat pumps and an intelligent energy manager (Enpal.One). Customers can rent or buy systems with integrated installation, financing, maintenance and energy‑trading features. Enpal aggregates distributed home resources into virtual power‑plant services to optimise energy flows and lower household energy costs.

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