Senior AI-Native Fullstack Engineer (m/f/d) - Data & Analytics

<br><strong>Job description</strong><p>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.<br><br><strong>This is not a traditional data analyst or classic BI developer role</strong>. 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.<br><br>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.<br><strong><br>What We’re Looking For</strong><br>We are looking for a <strong>fullstack engineer with a strong data focus</strong>. 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.</p><br><strong>Your tasks</strong><p><ul><li><strong>Fullstack Product Engineering:</strong> Build backend services, APIs, internal tools, lightweight UI/admin screens, automation, job runners, integrations, and customer-specific configuration around the data</li><li><strong>Data Pipeline &amp; Modeling:</strong> Ingest, validate, transform, and document ERP, API, SQL, file, and cloud data; map product-defined KPIs to available sources and identify gaps or inconsistencies</li><li><strong>Curated Data Products:</strong> Create validated, analysis-ready datasets with consistent schemas, reproducible transformations, and clear naming for reporting, APIs, product features, and customer-facing analytics</li><li><strong>Cloud &amp; Production Ownership:</strong> Deploy and operate reliable cloud solutions, preferably AWS, owning monitoring, alerts, failure handling, performance, cost, and operational reliability</li></ul></p><br><strong>Your profile</strong><p><strong>AI-Native Development</strong><ul><li>Hands-on with Claude Code, Codex, and agent-based workflows; GitHub Copilot-style autocomplete alone is not enough</li><li>Familiar with worktrees, subagents, MCP, structured prompts, harness engineering, parallelization, and validating AI-generated code and analysis to production quality</li></ul><strong>Software Engineering</strong><ul><li>Strong fullstack/backend experience, ideally with Python and/or TypeScript</li><li>Able to build production-grade services, APIs, scripts, tools, automation, and clean interfaces; comfortable with version control, review, debugging, testing, and existing systems</li></ul><strong>Data Engineering &amp; Analytics</strong><ul><li>Strong SQL, data modeling, analytical schemas, transformations, and downstream data use</li><li>Able to translate product-defined KPIs into datasets and metrics, and validate messy operational data, edge cases, system limitations, and customer-specific differences</li></ul><strong>Cloud &amp; Infrastructure</strong><ul><li>Hands-on with AWS or similar cloud environments, including storage, databases, queues, containers, serverless/scheduled processing, SDKs, and APIs</li><li>Understands deployment, secrets, networking, permissions, runtime configuration, scalability, performance, cost, and operational trade-offs</li></ul><strong>Good Fit</strong><br>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.<br><br><strong>Not a Good Fit</strong><br>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.</p><br><strong>Your benefits</strong><p><ul><li>Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownershipIndividual development opportunities, structured onboarding, and interdisciplinary collaboration</li><li>Flexible working models including hybrid work, home office, and mobile working</li><li>A modern tech environment and agile ways of working</li><li>Additional benefits such as pension plans, health offers, and employee discounts</li></ul></p><br><strong>I look forward to receiving your application</strong><p>Svenja Krüßel<br>D-49835 Wietmarschen-Lohne<br>Tel.: 0170-7888740<br>E-Mail: <a ----------<p>Find <a href="https://www.arbeitnow.co.uk">Jobs in United Kingdom</a> on Arbeitnow</a>