Senior Data Applications Engineer
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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.
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.
The Role We're looking for a
Senior Data Applications Engineer
to join our small, all-senior data team.
We build the data models, pipelines and applications that support the business, from product and marketing analytics through to fraud detection and internal operational tools.
We work
AI-first . Coding agents write a significant amount of our code, while we focus on architecture, testing, guardrails and making sure AI-assisted development is safe and reliable in production.
You'll help turn our data into useful applications, APIs and internal tools, not just tables and dashboards.
Requirements
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 the confidence to challenge designs and propose better solutions
Responsibilities
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 performanceReview AI-generated code, identify weaknesses and turn recurring issues into automated checks and guardrails
Improve our codebases and workflows so both engineers and coding agents can work more effectively
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
Our Stack Python, FastAPI, PostgreSQL, TypeScript, React / Next.js, Databricks, dbt, AWS, Kubernetes, Claude Code and Codex.
Benefits
Competitive Salary:
Reflecting experience and performance.
Quarterly Performance Reviews:
Regular feedback and career growth opportunities.
Bonus Opportunities:
Rewarding outstanding performance and successful growth initiatives.
Fully Remote Role:
Work remotely from within the Nordic region.
Company Meet-ups:
Opportunities to connect with global colleagues.
Tech Setup Budget:
Essential equipment provided for optimal productivity.
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