Data Engineer (Mid-Level)

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. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment

• Domain: iGaming
• Location: Israel
• Company size: 34 employees

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.

This is a hands-on role where you’ll work closely with analytics, product, and game teams to turn raw game and product data into reliable, well-modeled datasets that support decision-making across the company.

• 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 / Strong Advantage

• 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

• 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

✅ Recruiter Intro Call → ✅ Client Interview → ✅ Technical Test Task → ✅ Final Client Interview → ✅ Offer