Data Engineer

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 and optimize complex analytical queries using Google SQL Proficiency in Python and data processing libraries such as Pandas and PySpark Experience working with ClickHouse, including architecture understanding, performance optimization, and migration approaches Solid knowledge of Google Cloud Platform services, including Cloud Storage, Pub/Sub, DataForm, IAM, and service accounts Experience with Git, CI/CD practices, automated deployments, and environment management for data workflows Strong understanding of monitoring, logging, data validation, and production-grade data quality practices Excellent analytical thinking, problem-solving skills, and ability to work independently in a fast-paced environment Strong communication and collaboration skills with both technical and non-technical stakeholders Understanding of product metrics, experimentation frameworks, and data-driven decision making 2+ years of previous Software Engineering experience Experience optimizing storage and compute resources to improve infrastructure efficiency and reduce operational costs Experience integrating data platforms with BI tools such as Tableau or Looker Would be a plus Familiarity with supporting machine learning workflows and data infrastructure for Data Science teams Experience working with AI-powered development tools, including Claude Code, Claude Agents, or similar AI-assisted engineering solutions What we offer Care and support: 20 paid vacation days, 15 sick days, and 6 additional days off for family events Up to 10 additional days off for public holidays 100% medical insurance coverage Sports and equipment reimbursement Team building events, corporate gifts, and stylish merch Maternity Recovery Support Allowance Financial and legal support Position retention and support for those who join the Armed Forces of Ukraine Participation in social initiatives supporting Ukraine Comfortable working environment: Work from our Kyiv hub or remotely with a flexible schedule Modern equipment or depreciation of your own tools Investment in your future: Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche 70% of our heads and leads have grown into their roles here – so can you! Performance-oriented reviews and Individual Development Plans (IDPs) Reimbursement for professional courses and English classes Corporate library, book club, and knowledge-sharing events Hiring process Intro call Technical interview Final interview Reference check Offer P.S. Noticed a perfect match for your friend? We accept recommendations for all vacancies. If you are ready to refer your candidate, you can do it now: Сlick Here!