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

Why does MWDN rock?

null

What is your new project?

Domain: iGaming
Location: Israel
Company size: 34 employees

What makes this project exciting?

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.

What makes you a great fit

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

Your day-to-day in this position

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

Why work with us?

null

Our next steps

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

Requirements

null