Data Engineer (SQL)
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.