Data Engineer

Main requirements

dbt, Google BigQuery, Python, SQL, Git

Requirements

Position name: Data Engineer (Mid-Level)

Level: Mid-Level

Hard skills requirements:

• Hands-on experience with dbt (models, tests, documentation)
• Experience with Google BigQuery
• Solid Python skills for data engineering
• Strong SQL and data modeling
• Production data pipeline experience
• Git and collaborative development workflows

Soft skills requirements:

• Strong English — written and verbal
• Cross-functional communication
• Ownership mindset — takes accountability end-to-end
• High motivation to learn and grow in a startup environment

Office/Remote: Remote — any location

Project tasks:

• Build and maintain ELT data pipelines for game and product data
• Develop, test, and document dbt models following analytics engineering best practices
• Work with Google BigQuery for analytics, optimization, and cost efficiency
• Write clean Python for data processing and automation
• Ensure data quality, reliability, and consistency across datasets
• Monitor pipelines, troubleshoot issues, take ownership of fixes end-to-end
• Contribute to data architecture decisions in a fast-paced startup environment

English level: Upper-Intermediate / Advanced