Enter a job title or keyword
Senior AI-Native Fullstack Engineer (mfd) Data & Analytics
Job Location:
Monthly Salary:
Posted:
21 August 2026 (30+ days ago)
Posted:
Application Deadline:
19 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
What Were Looking For
We are looking for a fullstack engineer with a strong data focus. You should turn ambiguous problems into working software use AI as a default development workflow care about correctness and maintainability understand data edge cases choose simple robust solutions own the outcome from exploration to production and move quickly while verifying aggressively.
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.
What Were Looking For
We are looking for a fullstack engineer with a strong data focus. You should turn ambiguous problems into working software use AI as a default development workflow care about correctness and maintainability understand data edge cases choose simple robust solutions own the outcome from exploration to production and move quickly while verifying aggressively.
Your tasks
- Fullstack Product Engineering: Build backend services APIs internal tools lightweight UI/admin screens automation job runners integrations and customer-specific configuration around the data
- Data Pipeline & Modeling: Ingest validate transform and document ERP API SQL file and cloud data; map product-defined KPIs to available sources and identify gaps or inconsistencies
- Curated Data Products: Create validated analysis-ready datasets with consistent schemas reproducible transformations and clear naming for reporting APIs product features and customer-facing analytics
- Cloud & Production Ownership: Deploy and operate reliable cloud solutions preferably AWS owning monitoring alerts failure handling performance cost and operational reliability
Your profile
AI-Native Development
You may be a good fit if you are a fullstack/backend engineer with strong data or analytics experience a Python/TypeScript engineer who enjoys data products and automation an analytics/data engineer with real software engineering depth a technical founder/builder profile or an AI-native engineer using LLMs and agents daily for production work.
Not a Good Fit
This role is probably not the right fit if you are mainly a dashboard-only BI analyst classic report builder pure data warehouse engineer waiting for predefined tickets notebook-only analyst without production engineering experience engineer with no interest in data modeling someone who avoids ambiguity or someone who does not actively use and rigorously validate AI-generated output.
- 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
You may be a good fit if you are a fullstack/backend engineer with strong data or analytics experience a Python/TypeScript engineer who enjoys data products and automation an analytics/data engineer with real software engineering depth a technical founder/builder profile or an AI-native engineer using LLMs and agents daily for production work.
Not a Good Fit
This role is probably not the right fit if you are mainly a dashboard-only BI analyst classic report builder pure data warehouse engineer waiting for predefined tickets notebook-only analyst without production engineering experience engineer with no interest in data modeling someone who avoids ambiguity or someone who does not actively use and rigorously validate AI-generated output.
Your benefits
- Collaboration in an empathetic appreciative team with room to contribute ideas and take ownershipIndividual 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
Über uns
Die zvoove Group ist der weltweit marktführende Anbieter von Software und KI-Lösungen für die Personaldienstleistungs- Reinigungs- und Sicherheitsdienstleistungs-Branchen. Im dynamischen Ökosystem von Zeitarbeits- Reinigungs- und privaten Sicherheitsfirmen Arbeitnehmern und Unternehmen digitalisiert und optimiert zvoove Prozesse für mehr Effizienz und Wettbewerbsvorteile. Durch die End-to-End-Digitalisierung für Dienstleister mehr Jobangebote und Karrierechancen für Arbeitnehmer und zuverlässige Arbeitskräfte für Unternehmen verbessert die zvoove Group Arbeitswelten.
Mehr als 6.500 Kunden vertrauen der zvoove Group. Heute verwaltet zvoove über drei Millionen Beschäftigte 24 Milliarden Euro Jahreslohnvolumen und drei Millionen Bewerbungen pro Jahr über seine Plattform. zvoove beschäftigt knapp 1.000 Mitarbeitende an 27 Standorten in Europa und Lateinamerika.
Mehr als 6.500 Kunden vertrauen der zvoove Group. Heute verwaltet zvoove über drei Millionen Beschäftigte 24 Milliarden Euro Jahreslohnvolumen und drei Millionen Bewerbungen pro Jahr über seine Plattform. zvoove beschäftigt knapp 1.000 Mitarbeitende an 27 Standorten in Europa und Lateinamerika.
Required Experience:
Senior IC
About Company
zvoove ist der weltweit marktführende Anbieter von KI-Lösungen für die Personaldienstleistungs-, Reinigungs- und Sicherheitsdienstleistungs-Branchen. Im dynamischen Ökosystem von Zeitarbeits-, Reinigungs- und privaten Sicherheitsfirmen, Arbeitnehmern und Unternehmen, digitalisiert und ... View more
