Build backend services, APIs, internal tools, lightweight UI/admin screens, automation, job runners, integrations, and customer-specific configuration around the data
Ingest, validate, transform, and document ERP, API, SQL, file, and cloud data; map product-defined KPIs to available sources and identify gaps or inconsistencies
Create validated, analysis-ready datasets with consistent schemas, reproducible transformations, and clear naming for reporting, APIs, product features, and customer-facing analytics
Deploy and operate reliable cloud solutions, preferably AWS, owning monitoring, alerts, failure handling, performance, cost, and operational reliability

Strong fullstack/backend experience, ideally with Python and/or TypeScript
Able to build production-grade services, APIs, scripts, tools, automation, and clean interfaces; comfortable with version control, review, debugging, testing, and existing systems
Strong SQL, data modeling, analytical schemas, transformations, and downstream data use
Hands-on with AWS or similar cloud environments, including storage, databases, queues, containers, serverless/scheduled processing, SDKs, and APIs
Familiar with AI-Native Development and hands-on with Claude Code, Codex, and agent-based workflows
Understands deployment, secrets, networking, permissions, runtime configuration, scalability, performance, cost, and operational trade-offs

Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownership
Individual development opportunities, structured onboarding, and interdisciplinary collaboration
Flexible working models including hybrid work, home office, and mobile working
A modern tech environment and agile ways of working
Additional benefits such as pension plans, health offers, and employee discounts

Senior Fullstack Engineer – AI, Data & Analytics

Key skills