Level: Experienced

Job Field: BI, Data

Employment Type: Full Time

Contract Type: Permanent employment

Salary: from 3.175 € Gross/Month

Location: Vienna

Working Model: Hybrid, Onsite

Job Summary

In this role, you will develop efficient data and model pipelines in R for analyzing real estate data and design valuation models for banks and appraisers, also taking the lead on project management.

Job Technologies

Your role in the team

As a Data Engineer/Scientist in the AVM team (Automated Valuation Models), you will play a key role in extracting, analyzing, and processing real estate data within our valuation model pipeline.
You work on the further development of our automated data pipeline and actively contribute to the design of intelligent evaluation models.
In this role, you will be responsible for the evaluation results of the models that our clients - banks and experts - apply multiple times daily and which have a significant impact on the Austrian real estate industry.
Design and maintenance of efficient data and model pipelines in R to ensure robust collection, cleaning, transformation, and analysis of real estate data.
Development of high-quality, reproducible code using collaborative software development standards in GitLab-based DEV-TEST-PROD environments.
Implementation and execution of model validation procedures, including code review and result analysis in comparison with historical real estate price trends.
Comprehensive documentation of system architectures and workflows to ensure transparency, traceability, maintainability, and scalability of modeling processes.
Analysis, troubleshooting, and performance optimization of data and model pipelines with a focus on resolving methodological and computational bottlenecks.
Further development of model-theoretic approaches, optimization of existing valuation methods, as well as the development of new techniques for real estate appraisal and price forecasting.
Conducting exploratory and statistical data analyses to generate new insights.
Creation of interactive dashboards and visualizations for our data-driven products for the Austrian real estate market.
Target group-specific preparation and visualization of analysis results - from the specialist team to executive management.
Independent execution of (sub-)projects - from conception to implementation.
Presentation of complex technical content and analysis results to internal stakeholders and external partners.
Liaison role between business units, developers, and clients for the successful implementation of data-driven solutions.

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Our expectations of you

Education

A completed master's degree in Data Science, Computer Science, Econometrics, Urban Planning, Statistics, or Mathematics.

Qualifications

Enjoyment of real estate data and programming with R.
Proficient knowledge in R (dplyr, ggplot2, etc.), Git, SQL, or PostgreSQL.
Self-responsibility, structured and solution-oriented working style.
Very good knowledge of English or German.
Enjoyment in interdisciplinary, practical, pragmatic solutions.
Advantages (but not mandatory) include interest or knowledge in the following areas: interest in real estate and valuation, geodata management (QGIS, PostGIS), know-how about REST APIs, data orchestration & warehousing (e.g., Dagster, dbt, Airflow), familiarity with tools like CI/CD, Docker, Kubernetes, basic frontend knowledge (React, TypeScript, JavaScript).