Middle Data Engineer

On-site • Full-time • Tashkent, Uzbekistan (21a Taras Shevchenko St, 100060)

Interested? Contact our recruiter Hanna for more details.

Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.

With 150+ data engineers and over 20 years of experience, we help startups and enterprises turn data into smart decisions and better user experiences. Our teams work with Python, Java, Scala, and R to build scalable data pipelines and infrastructure that power real results.

What you'll do

• Design, develop, and maintain scalable and reliable data solutions that support business and analytical needs
• Build and enhance data pipelines, ensuring efficient data collection, transformation, and delivery across multiple platforms and systems
• Manage large-scale datasets, maintaining high standards of data quality, consistency, and availability
• Collaborate with cross-functional teams to understand business requirements and deliver effective data solutions
• Optimize data processing workflows and contribute to improving platform performance, reliability, and scalability
• Support data platform modernization and continuous improvement initiatives
• Implement testing and validation practices to ensure the accuracy and reliability of data products
• Leverage AI-powered development tools and stay current with emerging technologies and engineering best practices to improve productivity, accelerate delivery, and drive innovation

What you bring

• 3+ years of experience in Data Engineering, delivering end-to-end data solutions
• Strong Python and SQL skills, including complex query development, data transformation, and performance optimization
• Hands-on experience building and maintaining data pipelines using Apache Airflow and working with large-scale datasets
• Experience with distributed data processing using Apache Spark and PySpark
• Solid understanding of data modeling and data warehousing concepts, with practical experience in Snowflake
• Experience working with streaming and event-driven data platforms, such as Apache Kafka
• Familiarity with modern data lake architectures and formats, including AWS S3, Iceberg, and Parquet
• Experience defining testing strategies, debugging issues, and ensuring the reliability and quality of data solutions
• English B2+, comfortable communicating with English-speaking customers

Nice to Have:

• Participation in Snowflake migration and modernization initiatives, including performance and cost optimization
• Exposure to Apache Airflow upgrades, migrations, or platform transformation projects
• Familiarity with AI-assisted development practices and tools

What you'll get

• EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
• Licenses for AI tools: GitHub Copilot, Cursor, and others
• Expanded medical support for employees in Tashkent
• 19 working days of vacation per year, 21 after two years in the company
• Corporate getaway & teambuilding activities
• Support for the significant events in your life
• Referral bonuses for bringing in new talent