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zvoove Group GmbH Logo zvoove Group GmbH · IT - Software Development

Senior AI-Native Fullstack Engineer – Data & Analytics

· Job Posted June 30, 2026
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Job Description

We are building a modern analytics and Business Intelligence solution for customers in the temp-staffing industry, integrating operational data from multiple ERP systems across countries into reliable, customer-facing insights, analytical workflows, and reusable data products. This is not a traditional data analyst or classic BI developer role. We are looking for a product-minded fullstack engineer with a strong data focus: someone who can move from messy ERP data and product-defined KPIs to validated datasets, pipelines, APIs, internal tools, and dashboards where needed. AI and LLM tooling are central to how we work. We expect someone who uses AI-native workflows to explore faster, build in parallel, validate assumptions, and ship high-quality production solutions.

Job Responsibility

  • 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

Requirements

  • Hands-on with Claude Code, Codex, and agent-based workflows
  • GitHub Copilot-style autocomplete alone is not enough
  • Familiar with worktrees, subagents, MCP, structured prompts, harness engineering, parallelization, and validating AI-generated code and analysis to production quality
  • 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
  • Able to translate product-defined KPIs into datasets and metrics, and validate messy operational data, edge cases, system limitations, and customer-specific differences
  • Hands-on with AWS or similar cloud environments, including storage, databases, queues, containers, serverless/scheduled processing, SDKs, and APIs
  • Understands deployment, secrets, networking, permissions, runtime configuration, scalability, performance, cost, and operational trade-offs

What we offer

  • 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
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