Data Engineer

Expected

At Huuuge Games we make top grossing mobile games that bring people together through fun and social mobile gaming.

Become a part of an exciting adventure bringing fun & truly social experiences to millions of players around the world from one of our offices in Poland.

We are an in-office-first company and operate in a hybrid model (3 days from the office).

Join our Data Engineering team and be a crucial part of our data-driven engine. Were a group of curious and driven problem-solvers focused on transforming vast, complex datasets into clear, actionable insights. In this role, youll be responsible for a large part of our data lifecycle - creating ETL pipelines, high-performance aggregate tables and dashboards. Youll partner directly with Analysts, Big Data Developers, and business stakeholders company-wide, enabling high-value projects. If you thrive on working with big data, love the challenge of turning raw information into polished, high-impact business knowledge, and want to leverage cutting-edge tools and techniques, we want to hear from you!

• Design, build, and maintain robust ETL/ELT pipelines, transforming raw, disparate Big data inputs into high-quality, insightful structured tables and views.
• Architect, create, and maintain the companys core KPI dashboards and reports ensuring accuracy and performance for mission-critical business tracking.
• Integrate data from vast different sources—including product usage, marketing campaigns, and various third-party providers—to create a unified, holistic view of the business.
• Partner closely with Data, Product, and Business teams to scope, design, and deploy advanced data solutions that solve complex challenges.
• Drive high-standards development processes, actively contributing to CI/CD practices, and rigorous production deployment/monitoring to ensure pipeline reliability.
• Perform research, analysis, and proof-of-concepts for new technologies and solutions, keeping our stack on the cutting edge.
• Elevate team expertise by technically mentoring other team members and performing thorough code reviews.
• Support downstream data teams, such as Analytics and Data Science, ensuring they have the reliable, clean data necessary to deliver actionable insights and maximize business value.

Optional

• sharing the costs of sports activities
• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• dental care
• no dress code
• video games at work
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• redeployment package
• christmas gifts
• employee referral program