Senior) Data Engineer; m​/w​/d

Senior Data Engineer (m/w/d) — GALVANY, Berlin

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 start-up 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.

As a Data Engineer, 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.

• Design and build scalable data pipelines using Kafka, Benthos, Click pipes 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.

• Data tools including Kafka, Benthos (data pipeline), Click pipes, and related tools.
• Backend with GoLang.
• ML with Python, PyTorch, and LLMs.
• General tools including Azure, Git Hub, Linear, and Notion.

• 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, Mathematics, Data Engineering, or similar.
• Technical Skills
  - 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).
• Mindset
  - Self-driven problem-solving mindset - no need for micromanagement or specific tickets.
• Technical Aptitude
  - Technical mindset with a passion for understanding systems, data flows, and integrations, coupled with enthusiasm for continuous learning and problem solving.
• Language
  - Fluent in English;
  German is a plus.

• Outcome-Lit
  - You focus on value over volume.
• Systems Thinker
  - You see the bigger picture and understand how your work connects to the wider ecosystem - ensuring features contribute to a cohesive, scalable whole.
• Pragmatic
  - You choose the simplest effective path to solve problems - especially by leveraging AI tools.
• Customer Champion
  - You keep the end-user central in all decisions and seek direct exposure to how customers experience the product.
• Data Quality Guardian
  - You obsess over accuracy, freshness, and consistency; you build validation and monitoring into pipelines from the start.
• Pipeline Architect
  - You design scalable pipelines that support our data ecosystem.

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Tech & Product.