Data Engineer (m/w/d)

DeepImmo; München; Vor Ort; EUR 45.000 - 75.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Datenanalysten, der die Grundlage für datengestützte Entscheidungen im Immobilienbereich schafft. In dieser spannenden Rolle arbeiten Sie eng mit Produkt- und Engineering-Teams zusammen, um hochwertige Datensätze für eine kundenorientierte Plattform zu liefern. Sie werden PySpark-Datenpipelines in Databricks entwickeln und Daten aus verschiedenen Quellen abrufen, um eine umfassende Datenbasis zu gewährleisten. Wenn Sie eine Leidenschaft für Daten haben und bereit sind, in die Immobilienbranche einzutauchen, ist dies die perfekte Gelegenheit für Sie.

Qualifikationen

• 2-3 Jahre Erfahrung im Datenbereich mit Fokus auf Datenpipelines.
• Starke Kenntnisse in SQL, Python und PySpark sind erforderlich.

Aufgaben

• Entwicklung von PySpark-Datenpipelines in Databricks zur Datenverarbeitung.
• Implementierung von Datenabruf mittels APIs und Web Scraping.

Kenntnisse

SQL

Python

PySpark

Self-organization

Data Analysis

APIs

Web Scraping

Fluency in English

German skills

Ausbildung

Master’s Degree in Computer Science

Bachelor’s Degree in related field with experience

Tools

Databricks

TypeScript

NodeJS

Jobbeschreibung

The DeepImmo Data & Analytics team contributes the quantitative edge into our product by building the data groundwork and bringing the data alive. To that end, we integrate an expansive set of data sources and prepare machine learning models as well as prototypes of analytical methods for their implementation in our Real Estate OS. Your contribution within this role will see you focusing on building out the most important of these components: The fundamental data landscape.

Your Role

• Work closely together with our product and engineering teams to provide high-value data for our customers. Your datasets will be a core part of our customer-facing Real Estate OS. This means what you build will see lots of use, but with that also have a high demand for quality.
• Build PySpark data-pipelines in Databricks to transform our raw data into well-modeled and quality-assured data that fuels innovative insights.
• Implement data retrieval using APIs and Web Scraping from different sources relevant to location, market, and price of real estate to expand our data treasury and provide a thorough foundation for upstream processing.
• Keep the data flowing: You will observe and improve our data pipelines and intervene if things go wrong.
• You keep a wholesome perspective on our tool- and infrastructure choices and closely participate in decisions that shape our stack going forward.

Your Profile

• You excel at self-organization and embrace taking full ownership of your work.
• You have a Master’s Degree (or Bachelor’s with comparable work experience) in Computer Science, Mathematics, Data Science, or a related field.
• You have collected 2-3 years of working experience in the broader data area.
• You’re very well-versed with SQL, Python, and PySpark.
• You bring experience in working with Databricks or are motivated to learn.
• Know-How in TypeScript & NodeJS are optional.
• Experience in the real estate industry is a plus; a strong willingness to dive deep into real estate data is expected.
• Fluency in English is a must-have; good German skills are beneficial.