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The company in Berlin is building a scalable data platform to empower Analytics Engineering, BI and AI-enabled teams. As a Staff Data Engineer, you’ll own system decisions, pipelines, and guardrails, working hands-on with dbt, Snowflake, Airflow and infrastructure-as-code on Azure.
You’ll help shape the platform’s direction, establish governance, and partner with stakeholders to translate ambiguous needs into robust, production-ready data products.
Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. the company 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 the company.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.
Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at the company will deliver clean electricity tomorrow and bring about lasting change in how we use energy.
Metrify is the company’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.
Our central data platform is the foundation that Analytics Engineering, BI and increasingly AI-enabled business teams build on top of. You’ll join the team of two Data Engineers, where you’ll define how we build. As a Staff Data Engineer, you build for other engineers rather than for end users or dashboards: you own the technical decisions, pipelines, integrations, tooling and guardrails that let others ship data products safely and fast. You'll work at the intersection of dbt, Snowflake, Airflow orchestration and infrastructure-as-code on Azure – hands-on, while also setting the technical direction for where the platform goes next, building best practices, vision and roadmap.
Our data arrives from metering devices, operational and legacy systems, external partners and APIs. You own the ingestion and orchestration layer that collects, reshapes and delivers it, including the critical paths the business cannot operate without. You'll drive design decisions and reviews directly with stakeholders across the business domains, set the standards others build on, and turn ambiguous requirements into implementable designs.
Design, build and operate scalable pipelines end to end - from source integration through dbt models on Snowflake, orchestrated with Airflow on Azure.
6+ years of data engineering experience; you have owned production-critical data platforms.
Experience building internal developer platforms or paved-road tooling.
Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement.
At the company, 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. the company stands for a safe workplace and takes action against discrimination and harassment of any kind.
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