Location 🌎

Remote, EMEA

About Us 🏠

Nomad Homes is a software-enabled marketplace for residential real estate across Europe and the Middle East (EMEA). We currently operate in France, Spain, Portugal, and the UAE. Our mission is to empower agents to earn more and deliver a great experience for both buyers and sellers so that home ownership is simple and efficient because agents are empowered to collaborate with one another.

EMEA's residential real estate suffers from inefficiencies due to the absence of an MLS-like platform (the infrastructure for real estate in the US). Despite an estimated $1.5 trillion transactions per year, this lack of cohesion and infrastructure hampers collaboration among agents, leaves buyers unrepresented, and increases transaction friction, limiting liquidity and market growth.

We have assembled the best team and investors to tackle this problem. Our executive team is former Uber, Addepar, Cera, and Blackstone. Despite the VC-winter, we recently raised $20 million led by Acrew, and count other investors like former Twitter executives Dick Costolo and Adam Bain, the former Zillow CEO Spencer Rascoff, and Opendoor CEO Eric Wu as supporters of Nomad Homes.

Data is a cornerstone of our decision making. This is why we are looking for a Data Analyst to join the Technology team.

You have the opportunity to fundamentally change the largest asset class in the world, let’s do it!

As a Senior Data Engineer at Nomad, you will 🛠️

• Design, construct, install, and maintain large-scale processing systems, with an emphasis on incorporating modern technologies such as GPT-3.5/4.
• Collaborate with data scientists and architects to build a data infrastructure that supports their needs.
• Develop complex, scalable ETL processes to clean, transform, and load data into data lakes, data warehouses, and data marts.
• Ensure high levels of data accuracy, availability, and security.
• Optimize and improve the performance of various data pipelines and architectures.
• Review and actively participate in architectural discussions, helping shape the evolution of the data platform.
• Work closely with stakeholders to understand data needs and deliver on those requirements.
• Stay updated with the latest technologies and trends in data engineering.

What We Look For 🔍

Experience

• At least 5 years of experience in data engineering or related roles.