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

Meyandy LLC; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Zusammenfassung

GALVANY is hiring a Senior Data Engineer to architect and maintain the data infrastructure powering its AI-based Operating System for energy solutions. You will process real-time energy data from heat pumps and integrated systems, and build pipelines for AI models and analytics.

You will collaborate with ML engineers, ensure data quality, and leverage LLMs to accelerate development in a fast-growing green-tech startup based in Berlin.

Qualifikationen

• 4+ years of experience in high-performance data environments.
• End-to-end responsibility for data engineering from ideation to release.
• Strong background in Computer Science, Mathematics, Data Engineering, or similar.
• Proficiency in Python and SQL; experience with streaming architectures and data pipeline tooling.
• Fluent in English; German is a plus.

Aufgaben

• 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.

Kenntnisse

Python

SQL

English

German (bonus)

Tools

Kafka

Benthos

Clickpipes

GoLang

PyTorch

LLMs

Azure

GitHub

Linear

Notion

Jobbeschreibung

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.

The Role

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.

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), Clickpipes, and related tools.
• Backend with GoLang.
• ML with Python, PyTorch, and LLMs.
• General tools including Azure, GitHub, Linear, and 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-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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