Senior Data Applications Engineer

WPT Global; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Quarterly reviews

Bonus opportunities

Fully remote role

Company meet-ups

Tech setup budget

Job summary

WPT Global is seeking a Senior Data Applications Engineer to join our tight, all-senior data team. You’ll help build data models, pipelines and applications that power analytics, fraud prevention and internal tooling.

We operate AI-first; coding agents contribute a large portion of the code while we focus on architecture, testing, guardrails and safe, scalable AI in production. You’ll transform data into practical apps, APIs and self-serve tools.

Qualifications

• 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.
• Deep Python backend experience, including APIs, authentication and testing.
• Strong TypeScript / React experience.
• Strong SQL and data modelling skills.
• Hands-on data engineering with warehouses or lakehouses, pipelines and dbt.
• Experience with containers, CI/CD and cloud deployment (AWS preferred).
• Strong technical judgement and ability 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.
• 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 so engineers and coding agents can work more effectively.

Skills

AI-first development

Python backend

TypeScript / React

SQL / data modelling

Data engineering

Containers / CI/CD / AWS

Code review / guardrails

Tools

Databricks

dbt

Kubernetes

Claude Code / Codex / Cursor

AWS

Job description

About WPT Global

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.

• 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 performance.
• Review 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.

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.