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

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

Work from our Kyiv hub or remotely with a flexible schedule 

Modern equipment or depreciation of your own tools

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