Data Developer

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet’s safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression — all while maintaining robust trust-and-safety protocols.
We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus).
*A select number of positions require full-time in office attendance*Make your mark in a role where strong analytics engineering directly supports critical operations at scale.You’lltackle complex data challengesandhelp shape modern data practice.Joina focused, supportive team that cares about both outcomes and sustainability by helping to define how performance, resilience, security, and cost are measured across a large organization
Whatyou'llbe doing:
Build andmaintainscalable data models and transformation pipelines for infrastructure, security, and operational analytics using SQL and modern data tooling
Treat the platform as code: version-controlled transformations, tested pipelines, peer-reviewed changes, and reproducible environments
Own the security data model, including entity resolution across asset and identity sources, a common cross-domain schema, and partitioning, retention, and cost strategy
Deliver curated datasets, semantic layers, and dashboards that make reporting on system performance, outages, security health, and cost consistent and trusted
Enforce data quality and governance through validation checks, freshness SLAs, reconciliation, lineage tracking, access controls, and sensitive-data handling
Partner with engineering, infrastructure, and security teams to define metrics, standardize definitions, and improve data accessibility
Analyze vendor performance and cost data to support infrastructure investment and optimization decisions
Improve the analytics platform itself: workflow orchestration, query performance, and architecture
Must haves:
3+ years in analytics engineering, data analytics, or a similar technical role
Bachelor's degree in Statistics, Computer Science, Engineering, Finance, or a related analytical field
Strong SQL, plus experience building data models (dimensional modeling, warehousing, or data lake environments)
Hands-on experience with a transformation framework such asdbt, and with version control and reproducible data workflows
Experience with BI tools (Power BI, Tableau) and semantic layer design
Working knowledge of data quality, governance, and privacy practices
Experience with technical data domains such as infrastructure, systems, security, or engineering telemetry
Ability to translate complex technical data intoinsightsstakeholders can act on
Nice to haves:
Python for data transformation, pipeline development, or analysis
Workflow orchestration tools (e.G., Airflow) and data lake table formats (Delta, Iceberg)
Understanding of cloud systems and observability metrics
Experience with vendor performance or financial analysis
AI/ML governance frameworks and associated data controls
End-to-endMLOps: feature engineering on large-scale telemetry (pandas/Polars,PySpark), anomalydetectionand classification models (scikit-learn,XGBoost,PyOD), and experiment tracking with a versioned model registry (MLflow)
As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employeesIn this role you may be exposed to adult content#J-18808-Ljbffr