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

<p style="min-height:1.5em">At <strong>GALVANY</strong>, 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.</p><p style="min-height:1.5em">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.</p><h3></h3><p style="min-height:1.5em"><strong>The Role</strong></p><p style="min-height:1.5em">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.</p><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Responsibilities:</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Design and build scalable data pipelines using Kafka, Benthos, Clickpipes and related tools.</p></li><li><p style="min-height:1.5em">Ensure data quality, consistency, and freshness across the energy ecosystem and internal processes.</p></li><li><p style="min-height:1.5em">Collaborate with ML engineers to deliver the right data in the right format for AI models.</p></li><li><p style="min-height:1.5em">Build monitoring and validation into pipelines from the start.</p></li><li><p style="min-height:1.5em">Translate business questions into data requirements and vice versa.</p></li><li><p style="min-height:1.5em">Leverage LLMs and AI tools to innovate data solutions and accelerate development.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Tech Stack:</strong> 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.</p><h2></h2><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Requirements</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Experience.</strong> 4+ years of experience in high-performance environments (e.g. top-tier consulting, fast-scaling startups, or similar).</p></li><li><p style="min-height:1.5em"><strong>Track Record.</strong> Proven end-to-end responsibility in data engineering. From ideation to release.</p></li><li><p style="min-height:1.5em"><strong>Background.</strong> Strong background in relevant fields, e.g. Computer Science, Mathematics, Data Engineering, or similar.</p></li><li><p style="min-height:1.5em"><strong>Technical Skills.</strong> Strong coding skills with proficiency in Python and SQL. Experience with streaming architectures and data pipeline tooling. Fluent in spec-driven, AI-assisted development (e.g. Claude Code).</p></li><li><p style="min-height:1.5em"><strong>Mindset.</strong> Self-driven problem-solving mindset – no need for micromanagement or specific tickets.</p></li><li><p style="min-height:1.5em"><strong>Technical Aptitude.</strong> Technical mindset with a passion for understanding systems, data flows, and integrations, coupled with enthusiasm for continuous learning and problem solving.</p></li><li><p style="min-height:1.5em"><strong>Language.</strong> Fluent in English; German is a plus.</p></li></ul><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Skills and Qualities That Are Important to Us</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Outcome-Led.</strong> You focus on value over volume. You embrace iteration, adapt quickly to new information, and prioritize what moves the needle for business and user.</p></li><li><p style="min-height:1.5em"><strong>Systems Thinker.</strong> You see the bigger picture. You understand how your work connects to the wider ecosystem – ensuring features contribute to a cohesive, scalable whole.</p></li><li><p style="min-height:1.5em"><strong>Pragmatic.</strong> You choose the simplest effective path to solve problems – especially by leveraging AI tools.</p></li><li><p style="min-height:1.5em"><strong>Customer Champion.</strong> You keep the end-user central in all decisions. You seek direct exposure to how customers experience the product.</p></li><li><p style="min-height:1.5em"><strong>Data Quality Guardian.</strong> You obsess over accuracy, freshness, and consistency. You build validation and monitoring into pipelines from the start.</p></li><li><p style="min-height:1.5em"><strong>Pipeline Architect.</strong> You design scalable data flows from source to insight. You balance real-time needs with batch efficiency.</p></li></ul><h2></h2><p style="min-height:1.5em"></p><p style="min-height:1.5em"><strong>Benefits</strong></p><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Strong Growth &amp; High Impact.</strong> A unique opportunity to join during a hypergrowth phase and actively contribute to company success.</p></li><li><p style="min-height:1.5em"><strong>Compensation.</strong> Competitive salary and flexible perks (sports, mobility, learning) tailored to your needs.</p></li><li><p style="min-height:1.5em"><strong>Real-World Impact.</strong> Your work drives decarbonization – measurable in CO₂ savings, energy efficiency (kWh), and cost reductions (€).</p></li><li><p style="min-height:1.5em"><strong>Office.</strong> Prime location in Berlin Charlottenburg, regular company events and all-hands. We value in-person collaboration and connection, while partial remote work remains an option.</p></li><li><p style="min-height:1.5em"><strong>No Corporate Theater.</strong> Skip endless alignment meetings, politics and waiting for permission. You talk to the people who matter and ship.</p></li></ul><p>Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>