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Staff Engineer, Data & Analytics

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Job

  • Level
    Lead
  • Job Feld
    Data, Back End
  • Anstellung
    Vollzeit
  • Vertragsart
    Unbefristetes Dienstverhältnis
  • Ort
    Chemnitz
  • Arbeitsmodell
    Hybrid, Onsite
  • Job Zusammenfassung

    In dieser Position gestaltest du die technische Richtung unserer Datenplattform, entwickelst Best Practices für Datenmodellierung und leitest ein Team von Ingenieuren bei der Umsetzung innovativer AI-gestützter Features.

    Job Technologien

    Deine Rolle im Team

    • As a Staff Engineer in our Data & Analytics team, you will drive the technical direction of our data platform and analytics capabilities. This is a hybrid role combining hands-on technical leadership with people leadership. You will work closely with the Director of Engineering and cross-functional stakeholders to advance our data infrastructure and lay the foundations for AI-powered product features.
    • Drive the technical direction of our data platform - leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders.
    • Support and develop a team of 4-5 engineers: providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture.
    • Own and evolve the data infrastructure: data lake, data foundations, semantic layer, and data governance - building a solid base for AI and analytics features.
    • Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing.
    • Apply and advance strong data modeling practices across the platform.
    • Prioritize and mediate effectively with product stakeholders - advocating for the right technical decisions and sequencing of work.
    • Contribute to the evolution of our self-service data platform approach, driving the cultural and technical shift toward distributed data ownership.
    • Collaborate across the broader staff engineering community on cross-cutting architectural decisions.

    Unsere Erwartungen an dich

    Qualifikationen

    • Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration.
    • Solid data modeling skills and the ability to raise this as a team-wide standard.
    • Python proficiency and comfortable working across a modern data stack.
    • Strong stakeholder management and communication skills - you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams.
    • A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization.

    Erfahrung

    • Proven experience at Staff Engineer level or equivalent in a data engineering context.
    • Experience with streaming technologies (e.g. Kafka) - hands-on exposure is a strong plus.
    • Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base.
    • Leadership experience or ambition: you are comfortable guiding engineers and driving delivery.

    Unser Angebot

    • Competitive Compensation - we offer attractive salary packages including LTIP (unit-based Long Term Incentive Plan).
    • Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560.
    • Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August.
    • Support - we offer offering a company pension scheme.
    • Volunteers Day - you'll get one day off per year for supporting a social project.

    Themen mit denen du dich im Job beschäftigst

    Job Standorte

    • Standort Chemnitz

      Sachsen

      Deutschland

    Das ist dein Arbeitgeber

    Staffbase GmbH

    Staffbase GmbH

    Staffbase GmbH, gegründet 2014, ist ein innovatives Unternehmen, das interne Kommunikationslösungen entwickelt und Unternehmen dabei unterstützt, ihre Mitarbeiter zu vernetzen.

    Description

  • Unternehmenstyp
    Etablierte Firma
  • Arbeitsmodell
    Hybrid, Onsite
  • Branche
    Internet, IT, Telekom
  • Logo Staffbase GmbH

    Staff Engineer, Data & Analytics

    Ort
    Chemnitz
    Arbeitsmodell
    Hybrid, Onsite
    Diversität
    Für alle Personen geeignet (m/w/d)
    Nur Englisch
    Nur Englisch erforderlich

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