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Staff Engineer - Data & AI Focus

Job

  • Level
    Senior
  • Job Feld
    Software, Data
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Hamburg
  • Arbeitsmodell
    Hybrid, Onsite
  • 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 Technologien

    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

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Hamburg

      Deutschland

    Das ist dein Arbeitgeber

    The Quality Group GmbH

    The Quality Group GmbH

    Wir sind einer der führenden Anbieter von unternehmensweiter und zukunftsorientierter Beratung und von Lösungen für die Optimierung und Strukturierung von Geschäftsprozessen, Informationen, Dokumentationen und Verantwortlichkeiten.

    Description

  • Unternehmensgröße
    50-249 Employees
  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Full Remote, Hybrid, Onsite
  • Branche
    Internet, IT, Telekom
  • Logo The Quality Group GmbH

    Staff Engineer - Data & AI Focus

    Ort
    Hamburg
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)

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