Python Data Engineer

RTB House is a global leader in marketing technology, utilizing proprietary Deep Learning algorithms to power ad-buying engines for top brands worldwide. We are seeking a skilled Python Software Engineer to join our internal team and work on the backbone of our analytics, building robust applications and data pipelines that process terabytes of information daily.

Key responsibilities

• Design, develop, and maintain backend web applications for large-scale campaign statistics and financial data.
• Build and optimize complex ETL/ELT data processing jobs that support our core analytics and reporting systems.
• Develop internal Python libraries focused on high-performance data processing and analytical tasks.
• Collaborate with Data Analysts and Product teams to deliver new metrics and enhance analytical capabilities.
• Identify performance bottlenecks and implement improvements to query speed and data pipeline efficiency.

Requirements

• Solid experience in backend development for data-intensive applications using Python.
• Strong proficiency in relational databases with the ability to write highly optimized SQL queries, particularly in PostgreSQL and BigQuery.
• Understanding of RESTful and GraphQL API conventions for serving analytical data.
• Experience with asynchronous programming and system design concepts related to Big Data.
• Strong problem-solving skills and a methodical approach to complex data challenges.

What we offer

• High degree of autonomy and decision-making within a small, focused team.
• Access to cutting-edge technology and the opportunity to work on high-impact, reliable products.
• Participation in one of the most innovative projects in the online industry.
• Collaboration with a rapidly growing technology company in Europe.