Data Engineer (Mid-Level)

Posted 17 Hours Ago
Be an Early Applicant
Hiring Remotely in EU
Remote
Mid level
Information Technology • Consulting
The Role
Build, maintain, and scale ELT data pipelines and dbt models on Google BigQuery. Write Python for data processing, ensure data quality, monitor pipelines, collaborate with analytics/product/game teams, and contribute to data architecture in a fast-paced startup.
Summary Generated by Built In
Description

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

What is your new project?
  • Domain: iGaming
  • Location: Israel
  • Company size: 34 employees
  • Founded in: 2022
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
Our next steps

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

Skills Required

  • 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 ability to work effectively with cross-functional teams
  • Takes ownership and accountability for work (responsible mindset)
  • High motivation to succeed, learn, and grow in a startup environment
  • 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
Am I A Good Fit?
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The Company
Warszawa
143 Employees
Year Founded: 2002

What We Do

MWDN bridges the gap between your business and the top-tier talents worldwide. With strategically located delivery centers across Central and Eastern Europe, MWDN empowers startups and established businesses in the USA, Europe, and Israel. Let MWDN connect you to the talent that turns the impossible into reality. What we offer: ✔️200+ in-house software development and tech engineers – a global pool of IT and digital experts ✔️60% saving on direct labor costs and other payment plans for tight-budget projects ✔️20 years of experience in healthcare, logistics, fintech, cybersecurity, and manufacturing software ✔️24/7 assistance with your remote teams, regardless of their location Our services: - Staff augmentation - Dedicated teams - R&D team extension - Global IT recruitment Our expertise: - Transportation and logistics - Cybersecurity - FinTech - Blockchain - Construction - Medical sphere and healthcare - Telecommunication - ATS - GameDev We personalize our services for each client, and some of them have stayed with us for years! See what they say. SHARON VIENTE - Co-Founder & CTO Better Chains “I approached MWDN for a POC that was delivered ahead of time with very competitive pricing. Following that experience, I have been working with various teams at MWDN for more than two years. Developers and managers have. great technical and interpersonal qualities.” NETANEL MOHONI - CEO, VIDOO “MWDN is one of the best subcontractors we’re working with. The development team are experts, and the management team are flexible and opportunity creators. Definitely the right choice.” Let’s get in touch: [email protected]

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