Location: Remote / Hybrid (UK)

Department: Data & Technology

Reports To: Data Engineering Lead

Company: Traffic Label

About Traffic Label

Traffic Label is a performance marketing and technology company with nearly two decades of experience in iGaming and digital entertainment. We build data-driven platforms that power smarter marketing, automation, and analytics across multiple global brands.

The Role

We’re looking for an experienced Data Engineer to develop and maintain the core pipelines of our new Data Platform — processing player and marketing data across several iGaming brands. You’ll focus on ETL/ELT design, data modelling, performance optimisation, and ensuring data quality for analytics and ML teams.

Key Responsibilities

• Build and optimise scalable ETL/ELT pipelines integrating data from multiple systems.
• Design and implement Snowflake data models (silver/gold layers).
• Ensure accuracy and consistency through validation, monitoring, and documentation.
• Optimise SQL and Python processes for performance and cost efficiency.
• Collaborate with cross-functional teams to deliver trusted, high-quality data.
  

Skills & Experience

• 4+ years in data engineering with strong Snowflake, SQL, and Python skills.
• Hands-on experience with dbt or similar frameworks and Git-based workflows.
• Solid understanding of data modelling, ETL pipelines, and data governance.
• Experience with AWS (S3, Lambda) or similar cloud environments preferred.
• Knowledge of iGaming or marketing data, real-time processing, or data quality tools is a plus.
  

Why Join Us

• Build a scalable Data Platform from the ground up.
• Competitive salary and flexible remote/hybrid setup.
• Collaborative and innovative team culture.
  

Ready to help shape the data foundation behind our global iGaming brands?

Apply now to join Traffic Label’s Data & Technology team.