Data Developer

About the role

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’ll tackle complex data challenges and help shape modern data practice. Join a 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

What you'll be doing:

- Build and maintain scalable 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 as dbt, and with version control and reproducible data workflows

- Experience with BI tools (Power BI, Tableau) and semantic layer design