Analytics Engineer (m/f/d)

ABOUT US

Getsafe guides people to make smart life choices with personalized digital insurance.

We’re reinventing insurance from the ground up: with our own tech platform and a single app that unites property, life, and health coverage in one seamless experience. Features like family accounts, AI-powered guidance, instant claims handling, and our prevention program “Safepoints” make insurance simple, transparent, and built for today.

Since our launch in 2018, we’ve grown from our headquarters in Heidelberg and office in Berlin to serving more than 500,000 customers across Germany, Austria, and France. Backed by €120M from leading investors such as Earlybird, CommerzVentures, and Swiss Re, we’ve become one of Europe’s fastest-growing insurtechs.

Learn more about us on our

Website

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LinkedIn

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WHAT WE'RE LOOKING FOR

We’re hiring an Analytics Engineer to help scale our data platform and enable better, faster decision-making across the company.

This role sits at the intersection of data engineering, analytics, and business impact. You will design and own core data models, build reliable pipelines, and empower teams with self-serve and AI-based insights.

Your work will directly influence how we price, grow, and operate - and help shape the data architecture of a modern insurance company.

YOUR MISSION

• Own and evolve core business metrics - from definition to tracking and operationalisation
• Evolve the data and analytics-related part of our AI stack to accelerate experimentation, predictive use cases, and GenAI applications
• Drive cross-functional data projects (e.g. pricing, revenue, product usage) with stakeholders across Commercial, Operations, and Engineering to generate real business impact
• Build and maintain scalable data pipelines and data marts using modern tooling
• Design clean, reliable, and well-documented data models as a single source of truth
• Run deep-dive analyses to uncover insights and inform strategic decisions

ABOUT YOU

• 2+ years of experience in Analytics Engineering, Data Analytics, or a similar role
• Advanced SQL and data modeling best practices (e.g. dimensional modeling, semantic layers, metrics definitions)
• Modern transformation frameworks, especially dbt
• AI-ready data foundations: structured, governed, and discoverable data models that can power experimentation, automation, and GenAI applications
• Strong understanding of product, growth, and operational analytics use cases
• Experience with BI tools (e.g. Metabase) and building self-service environments
• Proficiency in Python or another programming language for data work
• Excellent communication skills - you can turn data into clear narratives and decisions
• High attention to detail and strong ownership mindset

GETSAFE PRINCIPLES

Customer Empathy 🤝

We simplify insurance by aligning our vision with every interaction, maintaining transparency, and building togetherness and trust with our customers.

Absolute Ownership 🔛

We pursue excellence relentlessly, taking full ownership, and ensuring everyone knows their role to contribute to our mission.

Day One Mindset 🌱

We strive to continually act as pacemakers, constantly optimising, thinking ahead, and inspiring greatness to build a scalable and impactful future.

Driver Team 🏎️

We communicate effectively, collaborate positively, and drive success as equals, united by respect and an inspiring mission.

YOUR BENEFITS

Your Journey With Us:

• Join us in Berlin or Heidelberg and be part of our hybrid culture, with the flexibility to work remotely.
• Be part of our growth journey through our Employee Stock Ownership Program (VSOPs), where you can claim your stake in the company an