Senior AI-First Data Applications Engineer — Remote

WPT Global; Lisboa; Remote; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Remote work from Nordic region

Quarterly performance reviews

Tech setup budget

Company meet-ups

Job summary

WPT Global seeks a Senior Data Applications Engineer to join a small, senior data team. You will build data models, pipelines and applications supporting analytics, fraud detection and internal tools.

The role emphasizes AI-assisted development, architecture, testing, guardrails and production safety. You'll turn data into useful applications, APIs and internal tools beyond dashboards, collaborating across Databricks workspaces, dbt, pipelines and cloud deployments.

Qualifications

• 5+ years of experience building production software across backend and frontend.
• Strong AI-first development experience using Claude Code, Codex or Cursor.
• Deep Python backend experience with APIs, authentication and testing.
• Strong SQL and data modelling skills.
• Hands-on data engineering with warehouses/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 to APIs and UIs.
• 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 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

SQL

Data modelling

Data pipelines

Cloud & CI/CD

Containerization

Tools

Databricks

dbt

AWS

Kubernetes

Job description

WPT Global seeks a Senior Data Applications Engineer to join a small, senior data team. You will build data models, pipelines and applications supporting analytics, fraud detection and internal tools.

The role emphasizes AI-assisted development, architecture, testing, guardrails and production safety. You'll turn data into useful applications, APIs and internal tools beyond dashboards, collaborating across Databricks workspaces, dbt, pipelines and cloud deployments.