Business Intelligence Engineer

WHAT YOU WILL BE WORKING ON​
What you will focus on
As a Business Intelligence Engineer, you’ll own the telemetry and reporting foundation that the studio relies on to make data-driven decisions. You’ll work at the intersection of raw event data, analytics, and business reporting - making sure our data is clean, consistent, and trustworthy.
The key challenge is to build a scalable tracking architecture while maintaining high data quality and reliable dashboards across the studio.
What it means on a daily basis​
Design, build, and optimize end-to-end AI workflows and ML pipelines, from data collection and model training to deployment and monitoring.
Lead the development of AI features across computer vision, generative AI, conversational AI, and AI-driven gameplay experiences.
Research, prototype, evaluate, and productionize the latest AI technologies while balancing innovation with maintainability and performance.
Drive AI-assisted development by implementing agentic workflows, AI coding assistants, and modern AI engineering practices to improve team productivity.
Mentor AI engineers and collaborate closely with game, product, engineering, and infrastructure teams to deliver impactful AI features.
Who you would be working with​
Data & BI teams – working together to maintain data quality, reporting standards, and a unified analytics workflow.
Game/Product teams – collaborating on telemetry requirements and tracking implementation across features.
Technical teams – coordinating on data architecture, schemas, integrations, and technical changes that may impact reporting.
Your recruitment journey
Screening Call
Test (48 hours)
Interview
WHAT YOU NEED TO SUCCEED​
SQL skills with hands-on experience in Google BigQuery.
High proficiency in Metabase and Looker, or comparable BI and visualization tools.
Knowledge of database architecture and data modeling, including schema design, data warehousing, and normalization/denormalization.
Proficiency in Python and/or Node.js for scripting, automation, and data processing.
Experience collecting data from multiple sources and cleaning, transforming, and integrating it into a unified database.
Strong understanding of data quality, telemetry/tracking, and dashboard governance.
WHO YOU ARE
Highly detail-oriented and genuinely care about data accuracy and consistency.
Structured and systematic, with strong documentation habits.
Proactive in identifying data issues and solving them before they impact stakeholders.
Strong ownership mindset - you take responsibility for the quality and reliability of the systems you manage.
A clear communicator who can collaborate effectively with technical and non-technical teams.

Employment type
Full-time

Work arrangement
Hybrid