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# Data Applications Engineer

- **Company:** Wpt Global
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Applications Architecture, User Authentication, Cloud Computing, Code Generation, Continuous Integration, Information Engineering, Cursor, Python (Programming Language), PostgreSQL, MySQL, Performance Tuning, Standard Sql, Next.js, TypeScript, Usage Analysis, ReactJS, Large Language Models, Claude Code, Apache Spark, AI Coding Agents, Backend, Fastapi, Kubernetes, Front End Software Development, Data Pipelines, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.adzuna.es/details/5925719023

## About the Role

* 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., * 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.

## Description

You'll help turn our data into useful applications, APIs and internal tools, not just tables and dashboards., * 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.