Job Description

Who we are

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At GALVANY, we drive 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. GALVANY is a profitable, fast-growing company backed by leading investors.

The role

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As a Data Engineer at GALVANY, you'll architect and maintain data pipelines to fuel AI models and analytics within our Operating System, processing real-time energy data from heat pumps and integrated systems for sales, planning, installation, and our Virtual Power Plant.

Build scalable data infrastructure and pipelines to support insights and decision-making. Ensure data quality, security, and efficiency across the energy ecosystem and internal business processes, delivering the right data in the right place at the right time. Use AI and LLMs to innovate data solutions and explore the Gen AI landscape.

Tech Stack

: Backend with GoLang; ML with Python, PyTorch, and LLMs; Frontend with React, Tailwind, and Shadcn; Mobile with Flutter; General tools including Azure, GitHub, Linear, Notion, Kafka, Benthos (data pipeline), n8n/Kestra (workflow engine), and low-code process automation platforms.

What we value

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Ownership.

Take end-to-end responsibility. Fix systemic issues, not just symptoms; champion long-term health over short-term wins.

Product Thinking.

Outcome over output. Build with user empathy, business context, and data – not just code. Validate assumptions early and measure whether features create real value.

Curiosity.

Ask “why?” relentlessly. Seek new perspectives, challenge assumptions, and share learnings openly – both inside and outside the team.

Pragmatism.

Choose the simplest effective path. Make smart trade-offs, consider low-code and AI tools, and prioritize reuse of libraries, services, and patterns over reinventing the wheel.

Team First.

Team over ego: win and learn together. Elevate collective goals, communicate transparently and share successes and failures openly.

What we require

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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, Machine Learning, or similar.

Technical Skills.

Strong coding skills with proficiency in relevant languages such as Python, SQL, or similar.

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.

What we offer

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Real-World Impact.

Your work drives decarbonization – measurable in CO? savings, energy efficiency (kWh), and cost reductions (€).

Perks.

Prime office location in Berlin Charlottenburg, high-quality subsidized lunch, regular company events and all-hands.

Compensation.

Attractive package with VSOP opportunity.

Strong Growth & High Impact.

A unique opportunity to join during a hypergrowth phase and actively contribute to company success. *

Open Culture.

Flat hierarchies, short decision-making paths, and a collaborative, dynamic environment.