About Us

CarsData is a core company within EAG Group, one of Europe's fastest-growing digital powerhouses in the automotive sector backed by €100 million in recent financing. As part of a thriving ecosystem that includes Omnetic, Carvago, and other industry leaders, we're transforming how dealerships operate across Europe.

CarsData consists of several teams including a dedicated Data Engineering Team and an AI Team working in close collaboration. We partner with the Czech Technical University in Prague to tackle our most challenging projects, creating an environment where research meets practical industry applications.

The Role: Join One of Europe's Most Innovative Data Teams We are seeking a skilled Data Engineer with strong SQL expertise to join our cutting-edge Data Engineering team. As one of the top AWS customers in the Czech Republic processing over 5M daily classifieds, managing 50TB+ of text data, 400TB+ of photos, and running 130,000+ lines of SQL code, we're not your average data team.

In this position, you'll work on our sophisticated unified data infrastructure built around Snowflake as our core data warehouse platform (we've been with them since 2015!), AWS for cloud services, and Keboola for data integration. You'll help create and maintain a modern data stack that includes Deepnote for collaborative analytics, Claude Code for AI-assisted development, and Cursor.ai for intelligent code generation. Our tech stack empowers various initiatives across the EAG Group's automotive ecosystem while embracing our "Data as a Product" philosophy in an autonomous data team environment.

You'll collaborate with a highly skilled team on state-of-the-art projects involving natural language processing, image recognition systems, vector similarity & RAG, machine learning, sophisticated pricing models, preparation of semantic layers, and text-to-SQL projects. We use Git for version control directly integrated with our database systems, allowing for clean, collaborative development workflows. We are at the forefront of AI adoption, having already implemented advanced agentic systems that are transforming how we process and analyze automotive data.

Key Responsibilities

Design and implement scalable data pipelines using Snowflake, AWS, and Keboola integration platform
Create efficient data models supporting both Data Mesh architecture and One Big Table approaches
Use Git for version control of database objects and collaborate via Deepnote for data experimentation
Leverage Claude Code and Cursor.ai to enhance development productivity
Build and maintain data flows that process 5M+ classifieds daily across multiple European markets
Prepare and maintain semantic layers for business intelligence and analytics
Develop data applications for internal stakeholders using Snowflake and Streamlit
Create reverse ETLs to serve data products to other teams
Build self-service BI solutions that enable business users to access insights
Maintain clean data governance and documentation
Collaborate across domains (Sales, Marketing, Finance, Operations) to understand data requirements

Requirements

Advanced SQL expertise with particular experience in Snowflake
Experience with modern data warehouse architecture
Experience with modern data integration platforms (Keboola, Fivetran, or similar)
Proficiency with Git for version control and collaborative development workflows
Interest in AI-assisted development using tools like Claude Code and Cursor.ai
Knowledge of data governance, security, and compliance in cloud environments
Experience implementing data mesh or domain-driven design for data
Passion for automotive data and interest in applying advanced data techniques to the industry
Excellent problem-solving abilities and attention to detail
Good communication skills in both Czech and English
Full-time availability (40 hours per week)
Ability to work on-site in Praha Holešovice

What We Offer

Join a cutting-edge data team - treating data as a core product, not just BI support
Collaborate on processing massive data sets
Learn from a veteran team led by a Data Operations expert with experience across major Czech/European companies
Cooperation with the Czech Technical University in Prague on advanced research
Flat hierarchy and the chance to influence architectural decisions on systems processing terabytes of data
Competitive salary and benefits package reflecting senior-level expertise

If you're interested in joining our innovative Data Engineering team, then submit your resume and lets meet.

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