(Senior) Analytics Engineer (m/f/d)

Role Overview & Responsibilities

At 1KOMMA5°, we pursue a clear vision: Living on wind and sunlight forever for free. To make this a reality, we are building the energy system of the future with Heartbeat AI. Want to be part of it?

We bring together regional craftsmanship and scalable software: We don't think of solar, batteries, heat pumps, and e-mobility as isolated components, but control them as an intelligent, integrated overall system in our virtual power plant. Directly connected to the electricity market – in real time, fully automated. This way, energy is used when it is available from renewables and particularly cost-effective. By 2030, our goal is to transition 1.5 million households to renewable energies. Over 3,000 people are working towards this every day, at more than 80 locations worldwide, from Finland to Australia.

Want to take responsibility and build solutions that truly matter? Apply now and help us shape the energy world of tomorrow.

Learn more about our Product & Tech team!

We are looking for an Analytics Engineer who enjoys building trusted data foundations and enabling teams to make better decisions, measure outcomes, and demonstrate the impact of their work.
As an Analytics Engineer, you will

• Build and maintain scalable, production-grade data models and analytics foundations that power decision-making across our 7 international markets
• Partner with Product Managers and business stakeholders to define success metrics, evaluate product outcomes, and turn data into actionable insights
• Enable self-service analytics through trusted metrics, reusable semantic models, and scalable data products that help teams answer their own questions and demonstrate the impact of their work
• Leverage AI and modern analytics tooling to accelerate insight generation, improve analytics workflows, and enable stakeholders to interact with data more effectively
• Continuously improve our analytics platform through robust modeling, testing, documentation, and engineering best practices

• Experience building and maintaining production data models using SQL and modern transformation tools (e.g. Dataform, SQLMesh or dbt)
• Strong SQL skills and working knowledge of Python
• Experience with BigQuery and a BI tool, ideally Looker
• Comfortable partnering with Product Managers and business stakeholders to translate questions into scalable analytics solutions
• A proactive, pragmatic mindset with strong communication skills and a passion for making data accessible and trustworthy

• Exposure to data science or machine learning applications in a business context
• Experience with product analytics, event tracking, funnel analysis or experimentation
• Experience in fast-growing operational businesses (e.g. logistics, marketplaces or field services)

• You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen
• With your work, you accelerate the "energy transition" and hence have a direct impact on our climate
• Work with and learn from other super-smart colleagues
• You will enjoy direct contact with core decision-makers
• You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups
• You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich
• Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass
• Benefits and discounts are yours with Futurebens
• Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time

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