Senior Data Applications Engineer

Since WPT’s inaugural high-stakes televised poker games in 2003, the brand has symbolised poker prominence. Today, WPT Global is building the next generation of online poker and gaming experiences for players around the world.

• 5+ years of experience building production software across backend and frontend.
• Strong AI-first development experience, using tools such as Claude Code, Codex or Cursor regularly.
• Deep Python backend experience, including APIs, authentication and testing.
• Strong TypeScript / React experience.
• Strong SQL and data modelling skills.
• Hands-on data engineering experience with warehouses or lakehouses, pipelines, and dbt.
• Experience with containers, CI/CD and cloud deployment; AWS preferred.
• Strong technical judgement and confidence to challenge designs and propose better solutions.

Nice to have:

• Experience building agents or LLM-powered tools, including MCP, orchestration or evals.
• Databricks / Spark.
• PostgreSQL, MySQL and SparkSQL performance optimisation.
• Kubernetes.
• Marketing or product analytics experience.
• Experience within gaming, fraud, trust & safety or fintech.

• Build data applications end to end using AI, from data models and infrastructure through to APIs and user interfaces.
• Turn data into internal tools, APIs and self-service products for teams across the business.
• Work across Databricks workspaces, dbt projects and data pipelines.
• Help shape technical direction across application architecture, APIs, data modelling, testing, security and performance.
• Review AI-generated code, identify weaknesses and turn recurring issues into automated checks and guardrails.
• Improve codebases and workflows to enhance effectiveness of engineers and coding agents.