Staff Engineer - Data & AI Focus

Beschreibung

Job Zusammenfassung In diesem Job gestaltest du die technische Architektur, entwickelst data pipelines und integrierst AI-Lösungen in bestehende Systeme, während du Teams fachlich unterstützt und langfriste technische Verbesserungen vorantreibst. Job Zusammenfassung In diesem Job gestaltest du die technische Architektur, entwickelst data pipelines und integrierst AI-Lösungen in bestehende Systeme, während du Teams fachlich unterstützt und langfriste technische Verbesserungen vorantreibst. Deine Rolle im Team As Staff Engineer (gn) - AI & Data Focus, you will help shape our architectural direction, strengthen our engineering foundations, and accelerate the responsible adoption of AI across teams. You work hands-on within your value stream while also contributing broadly across the organization - improving systems, enabling teams, and driving long-term technical impact. You provide architectural and technical leadership by driving scalable architectures and long-term technical improvements across teams. You support engineers hands-on in designing and implementing high-quality services, distributed systems, and data pipelines. You collaborate closely with Product, Engineering, Data, and other Staff Engineers to align on architectural decisions and technical direction. You evaluate and integrate AI technologies where they strengthen systems, processes, or product capabilities with measurable impact. You enable responsible AI adoption by defining best practices, guidelines, and reusable patterns across engineering. You mentor engineers and drive cross-team alignment while reducing complexity and improving engineering-wide consistency. Unsere Erwartungen an dich Qualifikationen You already work as a Staff Engineer and have impact on department level, not only within your team. You bring strong architectural thinking and can align teams and stakeholders on technical decisions. You are familiar with data warehouse concepts, data modeling, data governance, data pipelines, and data quality frameworks. You have a solid understanding of AI concepts such as LLMs, embeddings, vector search, agents, and automation patterns. You communicate fluently in English; German is a plus. Erfahrung You have extensive experience in modern software engineering and distributed systems. You have deep experience with event-driven systems, microservices, and AWS-based architectures. You have experience integrating AI capabilities into existing systems or workflows and assessing feasibility, risk, and impact. Unser Angebot Being part of our team means joining a high-performing company with a strong and diverse culture. At TQG, you are not just a "super-senior engineer" - you are a force multiplier, influencing how our engineering organization builds systems, scales architecture, and adopts AI responsibly over time. You can expect meaningful technical ownership, broad organizational impact, and a collaborative environment that values clarity, pragmatism, and continuous learning. Additionally, you can look forward to flexible working hours and remote work options. Attractive employee discounts. Subsidy for the E-gym Wellpass. Corporate benefits. 28 days vacation/year. Benefits Work-Life-Integration ⏰ Flexible Arbeitszeiten 🏠 Home Office 🏖️ Workation Themen mit denen du dich im Job beschäftigst AI Data Economy Metadaten Level: Senior Job Feld: Software, Data Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Etablierte Firma Branche: Internet, IT, Telekom Ort: Hamburg | Deutschland

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