technologies-expected :

about-project :

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!

responsibilities :

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.

requirements-expected :

3+ years of professional experience as a Data Engineer or BI Developer, ideally within a large-scale, Big Data environment.
3+ years of hands-on experience in Scala and/or Python, with a strong preference for practical experience in the Apache Spark ecosystem (Spark Scala/PySpark).
Expert-level proficiency in SQL and demonstrable experience working with analytical database technologies (e.g., Databricks, Snowflake, BigQuery, Impala, Redshift).
Direct experience working with and publishing reports in data visualization tools like Tableau.
Proven experience in the design and development of complex data manipulation processes, including the creation of KPIs, analytical data aggregates, dashboards, and reports.
A firm understanding of the overall BI, analytics, and Big Data ecosystems.
Strong communication skills and the ability to work effectively and cross-functionally with business stakeholders in a fast-paced environment.
Fluency in English (written and verbal).

benefits :

about-project :