Senior Data Applications Engineer

WPT Global

. Build data applications end to end using AI, from data models and infrastructure through to APIs and user interfaces.

Posted 10/14/2026full-timeRemote • Malta, United Kingdom, Spain, Poland, PortugalSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building end-to-end data applications using AI, with a strong focus on Python, TypeScript, and data engineering. Capable of shaping technical direction and improving workflows for enhanced engineering efficiency.

Highest-signal resume keywords

AI-First Development ExperienceDeep Python Backend ExperienceStrong TypeScript / React ExperienceHands-On Data Engineering ExperienceExperience with Containers and CI/CD

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptReactSQLData ModellingAPIsAuthenticationTestingData PipelinesCloud Deployment

Soft Skills

Strong Technical JudgementConfidence to Challenge Designs

Tools & Technologies

DatabricksDbtClaude CodeCodexCursorAWS

Industry Keywords

Data ApplicationsInfrastructureUser InterfacesAutomated ChecksGuardrails

Tech Stack

Tools & technologies

AWSCloudPythonReactSQLTypeScript

About the role

Key responsibilities & impact

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 so engineers and coding agents can work more effectively.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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.