About Us We’re building a next-generation iGaming platform where data drives everything—from player experience to risk management and growth.
We move fast, ship often, and rely heavily on real-time insights, AI, and experimentation. Now we’re looking for a Senior BI Engineer to take our data capabilities to the next level. The Role This is a high-ownership, hands-on role where you’ll design and build the entire BI layer of the company.
You won’t just create dashboards—you’ll shape how we understand players, optimize revenue, detect fraud, and scale intelligently.
You’ll work across the stack: * Data pipelines * Data models * Tableau dashboards * AI-driven insights * Privacy-first analytics (MPC)
What You’ll Own Tableau & BI (Your Core Playground) * Build and scale Tableau dashboards people actually use * Own everything from data modeling → visualization → performance * Create dashboards for: * Player behavior & retention * LTV & segmentation * Bonus / promo performance * Fraud & risk signals * Push Tableau to its limits (LOD, APIs, embedded analytics, RLS)
Data Integration (Messy → Clean → Powerful) * Bring together data from everywhere: * Gaming engines * Payments * CRM & marketing tools * Build robust ETL/ELT pipelines * Create clean, scalable data models that analysts love
AI-Driven Insights * Work closely with data science to: * Put ML models into production dashboards * Surface predictions (churn, LTV, risk) * Experiment with: * Automated insights * Natural language querying * Real-time anomaly detection
Privacy & MPC (Where It Gets Interesting) * Help us implement privacy-first analytics * Work with Multi-Party Computation (MPC) and secure data sharing * Enable insights across partners without exposing raw data
Work Across the Company * Partner with: * Backend engineers (data pipelines, APIs) * Frontend/product teams (tracking, features) * BI analysts (insights & reporting) * Turn messy business questions into clean, scalable data solutions
⚙️ Build It Right * Set standards for: * Data quality * Dashboard performance * BI best practices * Introduce versioning, testing, CI/CD for BI if it’s missing
️ What You BringMust-Have * 5+ years in BI / Data / Analytics Engineering * Deep Tableau expertise (not just charts—architecture & performance) * Strong SQL + solid data modeling skills * Experience working with multiple messy data sources * Python (or similar) for data work * Experience with cloud data warehouses (Snowflake / BigQuery / Redshift)
Big Bonus Points * iGaming / betting / high-scale transactional experience * Experience embedding ML into BI * Exposure to privacy tech / MPC * Familiarity with modern data stack (dbt, Airflow, etc.) * Real-time data experience
How You Work * You take ownership—no waiting for perfect specs * You care about impact, not just output * You can talk to engineers and business stakeholders * You simplify complexity and make data usable
What You’ll Impact * Faster, better decisions across the company * Improved player retention & revenue * Smarter fraud detection * A BI stack that actually scales
What You Get * Real ownership (you’ll shape the BI function) * Work on AI + modern data stack + privacy tech * Fast-moving, no-bureaucracy environment * Competitive salary + flexibility
Why This Role is Different Most BI roles stop at dashboards.
This one doesn’t.
You’ll be building a modern data brain for the company—combining: * BI * Data engineering * AI * Privacy-first analytics
