(Senior) Data Engineer (m/w/d)

Job description

At GALVANY , our goal is to make climate-neutral living a reality for everyone. We focus on execution – developing concrete, smart solutions and making heat pumps, battery storage, and smart metering easy to access, reliable, and affordable. GALVANY-Tech drives the energy transition through software. We're building an AI-based Operating System for sales, planning, installation and operation of heat pumps and integrated energy systems – from single-family homes to multi-unit buildings, and across our Energy Community as a Virtual Power Plant. We are a profitable green-tech startup and believe that sustainable impact and long-term growth are only possible when grounded in a healthy business model. To implement our ambitious tech roadmap, we secured €10 million in seed funding from Set Ventures and AENU in the spring 2026. Driven by customer value, clarity, and responsibility, we stand for high-quality heating solutions and an environment where people take responsibility and drive lasting impact. The Role As a Data Engineer at GALVANY, you'll architect and maintain the data infrastructure that powers our AI-based Operating System. You'll process real-time energy data from heat pumps and integrated systems, build pipelines that fuel AI models and analytics, and ensure data quality across our entire ecosystem – from individual homes to our Virtual Power Plant. Responsibilities: Design and build scalable data pipelines using Kafka, Benthos, Clickpipes and related tools. Ensure data quality, consistency, and freshness across the energy ecosystem and internal processes. Collaborate with ML engineers to deliver the right data in the right format for AI models. Build monitoring and validation into pipelines from the start. Translate business questions into data requirements and vice versa. Leverage LLMs and AI tools to innovate data solutions and accelerate development. Tech Stack: Data tools including Kafka, Benthos (data pipeline), Python, SQL; Backend with GoLang; ML with Python, PyTorch, and LLMs; General tools including Azure, GitHub, Linear, Notion. Requirements Experience. 4+ years of experience in high-performance environments (e.g. top-tier consulting, fast-scaling startups, or similar). Track Record. Proven end-to-end responsibility in data engineering. From ideation to release. Background. Strong background in relevant fields, e.g. Computer Science, Mathem…