(Senior) Analytics Engineer (m/f/d)
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Build scalable data models powering decisions across 7 international markets
As an Analytics Engineer at 1KOMMA5°, you will build and maintain scalable, production-grade data models and analytics foundations that power decision-making across 7 international markets. You will partner with Product Managers and business stakeholders to define success metrics, evaluate product outcomes, and turn data into actionable insights. You will enable self-service analytics through trusted metrics, reusable semantic models, and scal...
Why This Role?
Directly contribute to transitioning 1.5 million households to renewable energy by 2030
Key Responsibilities
- Build and maintain scalable, production-grade data models using SQL and transformation tools like dbt, Dataform, or SQLMesh
- Partner with Product Managers and stakeholders to define success metrics and evaluate product outcomes
- Enable self-service analytics through trusted metrics, reusable semantic models, and scalable data products
- Leverage AI and modern analytics tooling to accelerate insight generation and improve analytics workflows
- Continuously improve the analytics platform through robust modeling, testing, documentation, and engineering best practices
Requirements
- 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
- Proactive, pragmatic mindset with strong communication skills and a passion for making data accessible and trustworthy
Required Skills
Indonesia Context
- Working Hours Overlap:
- Flexible — work your own hours
View Original Description from Personio
Original description from Personio
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 Bonus points for: 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
Salary Context
Similar Engineering roles on LokerDollar pay around $195k/yr (range $36k–395k/yr, n=253 active listings).
Hiring at 1KOMMA5°
1KOMMA5° has 15 other active roles on LokerDollar and has been hiring here since Jun 25, 2026 — across Engineering.
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Frequently asked questions
- Is (Senior) Analytics Engineer (m/f/d) at 1KOMMA5° a remote job?
- Yes. (Senior) Analytics Engineer (m/f/d) at 1KOMMA5° is a fully remote role open to candidates worldwide.
- What type of employment is (Senior) Analytics Engineer (m/f/d) at 1KOMMA5°?
- This is a full time position.
- How do I apply?
- Click the "Apply" button on this page to go to the official application at 1KOMMA5°.
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