About GALVANY
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. 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, 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.
Skills And Qualities That Are Important To Us
- Outcome-Led: You focus on value over volume. You embrace iteration, adapt quickly to new information, and prioritize what moves the needle for business and user.
- Systems Thinker: You see the bigger picture. You 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. You 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 data flows from source to insight. You balance real-time needs with batch efficiency.
Benefits
- Strong Growth & High Impact: A unique opportunity to join during a hypergrowth phase and actively contribute to company success.
- Compensation: Competitive salary and flexible perks (sports, mobility, learning) tailored to your needs.
- Real-World Impact: Your work drives decarbonization -- measurable in CO₂ savings, energy efficiency (kWh), and cost reductions (€).
- Office: 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.
- No Corporate Theater: Skip endless alignment meetings, politics and waiting for permission. You talk to the people who matter and ship.
- Team Events
