Data Engineer

• 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

• 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

• 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

• 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

• Intro call

• Technical interview

• Final  interview

• Reference check

• Offer
  
  

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