Opportunities in Berlin, Germany

Description

1 K O M M A5°

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.

Your Mission

We are looking for a Senior Analytics Engineer (m/f/d) to own the growth analytics function at 1KOMMA5°. You will sit at the intersection of data engineering, marketing intelligence, and business strategy — building the systems and insights that power our sales and marketing engine across Europe.

You will join a small, high-impact data team and report directly to the Director of Growth Operations. This is a hands-on, highly visible role: you will own our marketing data models, drive the stability of our marketing tech stack, and partner closely with marketers, sales reps, data engineers, and business leaders to make data-driven decisions fast.

Own Marketing Data Modeling

• Design, build, and maintain our core marketing data models — you know them by heart and can answer any question with data within minutes

• Define a forward-looking vision for the marketing data stack and drive its development

• Actively educate analysts, engineers, marketers, and other stakeholders on marketing data — how it works, what it means, and how to use it

Own the Marketing Tech Data Stack

• Take full ownership of the stability of our marketing data pipelines — be the first to respond to incidents and drive resolution

• Maintain deep expertise across our full marketing tech stack: ad platforms (Performance Max, Taboola/Outbrain, etc.), Airbyte ingestion, Zoho CRM, GTM, and web analytics

• Partner with marketers to use data to automate and improve marketing processes

Drive Cross-Team Collaboration

• Work across data analysts, data engineers, software engineers, and marketing teams — sharing knowledge and best practices from the Growth Analytics team

• Integrate learnings from other teams back into your own work to continuously raise the bar

• Lead and ship large cross-functional projects with clarity and alignment

Be a Role Model for Junior Talent

• Mentor junior data analysts and engineers — making them meaningfully better through your guidance

• Actively reduce your bus factor: document your work, teach what you know, and build automations that scale your impact beyond yourself

Qualifications And Requirements

Required

• 5–7 years of experience in analytics engineering, data engineering, or a related role - ideally in a high-growth or performance-marketing environment

• Deep hands-on expertise with SQL (advanced query writing, optimization), BigQuery, and dbt or SQL Mesh

• Strong command of web analytics and tracking infrastructure: GTM, GA4, or equivalent

• Solid experience with marketing tech platforms - ad platforms, CRM systems (Zoho or similar), and data ingestion tools (Airbyte or similar)

• Expert-level understanding of growth marketing unit economics: CPL, CAC, blended CPL, ROAS, LTV, and marketing attribution models

• Proven ability to define, build, and communicate metrics to diverse stakeholders - from marketers to executives

• Experience leading cross-functional data projects from definition through delivery

• Fluency in English is required; German is a strong plus

Strong Plus

• Experience with Looker or equivalent BI tools (PowerBI, Tableau)

• Python skills for pipeline automation and data quality checks

• Background in performance marketing or working embedded within a growth/marketing team

• Terraform: understanding of Google Cloud platform & building scalable data pipelines

What we offer

• 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 move in flat hierarchies and have direct contact with the managing directors as well as short decision-making paths
• 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

Requirements and qualifications Required

• 5–7 years of experience in analytics engineering, data engineering, or a related role - ideally in a high-growth or performance-marketing environment

• Deep hands-on expertise with SQL (advanced query writing, optimization), BigQuery, and dbt or SQL Mesh

• Strong command of web analytics and tracking infrastructure: GTM, GA4, or equivalent

• Solid experience with marketing tech platforms - ad platforms, CRM systems (Zoho or similar), and data ingestion tools (Airbyte or similar)

• Expert-level understanding of growth marketing unit economics: CPL, CAC, blended CPL, ROAS, LTV, and marketing attribution models

• Proven ability to define, build, and communicate metrics to diverse stakeholders - from marketers to executives

• Experience leading cross-functional data projects from definition through delivery

• Fluency in English is required; German is a strong plus

Strong Plus

• Experience with Looker or equivalent BI tools (PowerBI, Tableau)

• Python skills for pipeline automation and data quality checks

• Background in performance marketing or working embedded within a growth/marketing team

• Terraform: understanding of Google Cloud platform & building scalable data pipelines

Required

• 5–7 years of experience in analytics engineering, data engineering, or a related role - ideally in a high-growth or performance-marketing environment

• Deep hands-on expertise with SQL (advanced query writing, optimization), BigQuery, and dbt or SQL Mesh

• Strong command of web analytics and tracking infrastructure: GTM, GA4, or equivalent

• Solid experience with marketing tech platforms - ad platforms, CRM systems (Zoho or similar), and data ingestion tools (Airbyte or similar)

• Expert-level understanding of growth marketing unit economics: CPL, CAC, blended CPL, ROAS, LTV, and marketing attribution models

• Proven ability to define, build, and communicate metrics to diverse stakeholders - from marketers to executives

• Experience leading cross-functional data projects from definition through delivery

• Fluency in English is required; German is a strong plus

Strong Plus

• Experience with Looker or equivalent BI tools (PowerBI, Tableau)

• Python skills for pipeline automation and data quality checks

• Background in performance marketing or working embedded within a growth/marketing team

• Terraform: understanding of Google Cloud platform & building scalable data pipelines