DataEngineer

## Description Data is at the core of every product decision we make. In this role, you’ll help shape and scale the data ecosystem behind products used by millions of users across international markets. You’ll work on high-volume data platforms, build reliable pipelines, and create the foundation that enables analytics, business intelligence, and data science teams to make fast, data-driven decisions. This is an opportunity to solve complex engineering challenges, optimize large-scale data systems, and directly influence the way data powers our products and business growth ## In this role, you will Design and develop scalable, cloud-native data architectures in BigQuery, ensuring optimal performance, maintainability, and cost efficiency Build, automate, and maintain ETL/ELT pipelines using modern data stack tools and custom solutions Create and optimize business-critical data marts, aggregations, and analytical datasets for reporting, dashboarding, and product insights Implement data quality frameworks, monitoring systems, logging, and alerting mechanisms to ensure data reliability Continuously improve performance, scalability, and cost efficiency of production data infrastructure Partner closely with Data Science teams to build reliable data services, infrastructure, and pipelines supporting machine learning and advanced analytics initiatives Collaborate with product, analytics, and engineering teams to define and deliver scalable data solutions across the organization ## It’s all about you 3+ years of experience as a Data Engineer working with large-scale data platforms and high-volume datasets Strong expertise in data modeling, data warehousing concepts, and analytical data architecture design Proven experience designing and developing complex ETL/ELT workflows following BI and data engineering best practices Hands-on experience with BigQuery, including partitioning, clustering, query optimization, and cost management Strong SQL skills with the ability to write a