Job Description

Wunderflats is Germany's market leader for mid-term furnished housing. The Berlin-based scale-up was founded in 2015 by Jan Hase and Arkadi Jampolski. The platform provides easy and secure solutions for medium-term rentals with a minimum rental period of one month, connecting those seeking flexible housing with those offering it.

Wunderflats offers verified rental agreements and additional landlord services ranging from a professional photoshoot of the apartment to a full-service rental management solution.

Wunderflats currently lists over 40,000 apartments in Europe and has over 180 employees. For more information, visit wunderflats.com.

We are seeking an experienced Senior Data Engineer (f/m/d)  to own and enhance our data infrastructure, optimize data pipelines, and empower stakeholders with reliable data. If you have strong SQL and Python skills, expertise in Data Modelling and Warehousing, and experience with cloud environments and data pipeline tools, then we would like to hear from you!

What you'll do

• Own our existing data engineering infrastructure and existing database models, improve and advance them to guide Wunderflats as a data-driven organization
• Maximize our data teams impact by constructing, monitoring, troubleshooting, and optimizing data pipelines that ensure timely delivery of clean and accurate data sets
• Empower your stakeholders to make better decisions, by analyzing the data structure, improving the data integration and data warehouse performance, and enabling quick access to reliable data
• Collaborate across departments and help continually improve ongoing reporting and analysis processes, simplifying self-service support for all
• Document data engineering processes, data models, ETL workflows, and changes made to the data infrastructure to facilitate knowledge sharing and data lineage tracking

What we expect from you

• 5+ years of overall experience in the fields of data or software engineering, where you got to develop your advanced SQL skills and solid, professional knowledge of Python
• Strong knowledge of Data Modelling and Data Warehousing design (preferably with BigQuery)
• Experience in creating and improving data pipelines and data sets with data transformation and pipeline tools like dbt, Fivetran, Airflow, Kubernetes, etc.
• Experience in working in the cloud environment (preferably with GCP)
• You focus on quality and have strong analytical skills, as well as a hands-on mentality, which help you in finding simple solutions for complex problems
• You are business fluent in English

What we offer

• #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.
• #worklifebalance: Our working hours are flexible and family-friendly. We operate a hybrid policy with specific office days. Whilst also providing the possibility for fully remote options.
• #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 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!