ABOUT THE PROJECT

MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. We are a growing gaming startup building data-driven products, and we’re looking for a mid-level Data Engineer to help build, maintain, and scale our data and analytics platform.

REQUIREMENTS

– Hands-on experience with dbt (models, tests, documentation)
– Experience working with Google BigQuery
– Solid Python skills for data engineering use cases
– Strong SQL skills and understanding of data modeling concepts
– Experience building and maintaining production data pipelines
– Familiarity with Git and collaborative development workflows
– Strong English capabilities, both written and verbal
– Good communication skills and the ability to work effectively with cross-functional teams
– A serious, responsible mindset — takes ownership and accountability for work
– High motivation to succeed, learn, and grow in a startup environment
– Nice-to-Have: Experience in the gaming industry (mobile, F2P, online, or real-time analytics)
– Understanding of event-based data, funnels, retention, cohorts, and LTV
– Experience with data orchestration tools (Airflow, Prefect, Dagster)
– Familiarity with data ingestion tools (Fivetran, Airbyte, or similar)
– Exposure to GCP beyond BigQuery
– Experience working in a startup or fast-paced environment

RESPONSIBILITIES

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

WHAT WE OFFER

–

COMPENSATION & BENEFITS

–