Data Engineer

Data Engineer

Huuuge Games

Szczecin or Warsaw, Poland

How will you make an impact with us?

As a Data Engineer on our team, you won't just process data - you'll be instrumental in shaping our data ecosystem and empowering the entire business.

Your core responsibilities will include:

• 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 company's 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.

This is the right job for you if you have:

• 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).

Surprise us with:

• Experience handling and understanding data related to the gaming or mobile applications industry.
• Extensive working knowledge of the Databricks environment, including proficiency with its advanced analytical or ML features.
• Familiarity with mobile app marketing attribution or broader marketing-related data activities.