Job Description

Here you can find our German speaking jobs.

ABOUT US

Wunderflats helps people find fully furnished homes for a month or more, perfect for relocations, family moves, or life transitions. It offers a secure and seamless rental experience across Europe.
Founded in Berlin in 2015 by Jan Hase and Arkadi Jampolski, Wunderflats bridges the gap between verified landlords and carefully vetted tenants. As part of Europe’s housing infrastructure, it helps activate underutilized apartments and support the evolving ways people live and work today.

More than 63,000 apartments are currently listed, and the company employs a team of over 150 people.

Learn more at www.wunderflats.com For media inquiries, please contact: press@wunderflats.com

Wunderflats is rebuilding its BI foundation to become a data-driven company. Our goal is simple: leaders and teams should be able to trust dashboards, understand metrics, and answer business questions without ambiguity.

A strong BI foundation is also the prerequisite for our next step: AI-assisted access to insights, where stakeholders can explore and work with data through AI agents built on top of well-modelled, well-documented, and governed datasets.
This role is central to shaping both our analytics layer and how the company interacts with data in the future.

As an Analytics Engineer, you will sit within the Data team and operate at the intersection of business, analytics, and data engineering.
You will collaborate closely with Finance, Operations, Product, and other departments to ensure business logic is accurately reflected in the data.

Does this sound like the right next step in your career? We would like to hear from you!

YOUR MISSION

• Establish a trusted data foundation: Profile and improve core datasets by identifying inconsistencies, gaps, and root causes, partnering closely with Engineering and business teams to ensure data quality and reliability.
• Own the Single Source of Truth: Define, document, and maintain a centralized metrics catalog (definitions, business rules, calculation logic, ownership) in close collaboration with Finance, Operations, and Product.
• Translate business processes into scalable data models: Build clean, well-documented, and governance-ready data models in dbt that enable self-service BI and ensure clear lineage.
• Prepare AI-ready data structures: Design curated datasets with machine-readable metric definitions, clear assumptions, and guardrails to enable safe and reliable AI querying.
• Develop AI-powered data access: Prototype and implement AI-assisted interfaces (leveraging LLM APIs and internal tools) that allow non-technical users to explore data via natural language.
• Ensure trust, traceability, and adoption: Continuously validate AI outputs, refine guardrails, and improve usability to build business confidence in both BI and AI-driven insights.

YOUR PROFILE

• 3+ years of experience in analytics engineering, BI engineering, or a similar role.
• Strong SQL (complex joins, window functions, performance-aware queries).
• Strong Python (especially pandas) for validation, transformation, and data analysis.
• Solid understanding of analytics engineering concepts (facts/dimensions, modelling patterns, lineage).
• Experience building BI-ready data models (dbt or similar strongly preferred).
• Problem-solving skills and comfort with ambiguity.
• High standards for data correctness, clarity, and documentation.

OUR PITCH

• #empathyculture: Become part of our international team with a scale-up atmosphere, where you as a person really count and your ideas and work make a real impact.
• #worklifeinbalance: Our working hours are flexible and family-friendly. Your main working hours are spent in the office, but you are also welcome to work from home from time to time.
• #personaldevelopment: We support you in your personal & professional development, e.g. through individual training programs, workshops, or participation in trade fairs and conferences.
• #compensationpackage: Receive an attractive compensation package and a company pension plan with a 20% employer contribution.
• #wunderoffice: Work from our brand new office in Berlin (Hackescher Markt), with ergonomically equipped workstations, detox room, playroom, roof terrace and fruit & drinks on us.
• #welovetohavefun: Celebrate with us at our annual summer or winter party, and regular after-work gatherings, and power up in our office with yoga, table soccer and table tennis.
• #morebenefits: A special discounted membership at Urban Sports Club? Decent discounts at FutureBens? Yearly travel ticket? - here you go! - and even more!

*We at Wunderflats value the diversity of our team and stand for equal opportunity and non-discrimination. We respect all differences from person to person, visible or not.