WHO WE ARE

Venatus is an award-winning, global ad-tech platform that connects advertisers to the exclusive audiences of 500+, world renowned gaming and entertainment publishers. We are tech-first. We are gamers. We are the difference makers. Because when it comes to helping the world’s most recognisable brands such as EA, Nintendo and Rovio produce outstanding advertising campaigns, our in-house creative team alongside our direct and programmatic ad-sales have an unrivaled track-record.
Our game-changing investment from leading private equity firm, LivingBridge makes this an exceptionally exciting time to join the company. Venatus has ambitious growth and expansion plans, launching new products and opening even more international offices. London is our HQ with regional offices in Amsterdam, New York, LA, Toronto, Sydney, Seoul and Manila.

WHAT WE’RE LOOKING FOR

At Venatus, we’re building the future of adtech, and data is at the heart of everything we do. We’re looking for a Senior Data Engineer to join our backend development team and play a pivotal role in designing, building, and optimising ETL and streaming data pipelines. You’ll report into our Principal Engineer and work with our frontend and backend engineers to integrate data from diverse sources, supporting analytics, reporting, and decision-making across the business. This role will also help strengthen our business intelligence and AI capabilities, ensuring Venatus remains at the forefront of adtech innovation.

• Contribute to the design and maintenance of scalable, efficient data pipelines and frameworks for end-to-end reporting and analytics.
• Enhance pipelines to generate derived business metrics for real-time monitoring, alerting, and actionable insights.
• Develop data workflows to support AI/ML model creation.
• Collaborate with backend engineers to integrate data from internal and external systems, ensuring compatibility and accuracy.
• Support strategies that maintain the highest levels of data quality and consistency.
• Build proactive monitoring systems to ensure data reliability and identify potential issues.
• Design efficient data storage and retrieval strategies to minimise overhead and maximise performance.