Data Engineer

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Genesis Tech

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏢 Enterprise

📱 Media

📚 Education

💰 Series B on 2015-01

Enterprise • Media • Education

Genesis Tech is a Ukrainian co-founding IT company that partners with top entrepreneurs in Central and Eastern Europe to build global tech businesses. Known as one of the most powerful tech teams in Ukraine and the CEE region, Genesis Tech has succeeded in publishing applications utilized by millions around the globe, with 400 million downloads worldwide. The company develops a range of tech products across various fields, including education, social discovery, dating, and health & fitness, integrating creative authoring with advanced AI technology. Genesis Tech is dedicated to enhancing the quality of life by creating fast-growing products, participating in cyber security, and spearheading educational initiatives. It's recognized for its entrepreneurial management structure and its influence in the tech industry.

📋 Description

• Build a reliable, scalable data platform • Connect and integrate new data sources into a unified pipeline • Orchestrate and ensure pipeline reliability: manage task dependencies, error handling, retry logic, and recovery from failures • Maintain data quality: build validation checks, handle NULLs and duplicates, monitor freshness and consistency • Prepare data as a product for AI agents: clean, documented, predictable datasets that can be trusted without manual verification • Contribute to analytical tasks where automation falls short, and support the team through the transition to self-service analytics

🎯 Requirements

• 2+ years of hands-on experience as a Data Engineer or in a similar data infrastructure role • Strong SQL proficiency and practical experience working with cloud data warehouses (BigQuery preferred) • Experience designing and maintaining ETL/ELT pipelines and layered data warehouse architecture (raw → stage → final) • Hands-on experience with pipeline orchestration tools (Airflow, MWAA, or Cloud Functions): task dependencies, error handling, retry logic, failure recovery • Solid understanding of data quality practices: validation, NULL/duplicate handling, freshness and consistency monitoring • Bonus points: Experience in subscription-based products (web and/or mobile).

🏖️ Benefits

• сompensation for additional training at external events and seminars • access to a large electronic library • paid online courses and conferences • work remotely from any safe location worldwide • flexible work schedule • 20 paid vacation days per year • an unlimited number of sick days • medical insurance coverage • mental health support • power station reimbursement • employee discounts and special benefits for remote employees • remote team compensation for gathering and team-building episodes