Senior Data Engineer – Cloud, Products & Innovation

Stellenbeschreibung:

Responsibilities

  • Architecture & pipeline design: You design, build and optimize scalable data pipelines and modern data platforms in cloud environments (including STACKIT).
  • Product development with impact: You actively shape the data infrastructure for our internal flagship products – from real-time situation awareness in the public safety sector (X-PLORE) to intelligent data processing in forestry (TimberNex).
  • Top-tier client projects: You support exciting clients, including those in the logistics sector, with complex data integrations and challenging IT projects.
  • Modern tooling & streaming: You connect systems via service buses and message queues, transform data with dbt and Talend, and make it performantly usable in Exasol.
  • Data excellence: You establish high standards for data governance and data quality so our data is always reliable, secure and compliance-ready.
  • Innovation & AI: You experiment with LLMs and integrate AI-powered workflows into our data structures.

Requirements

  • You are an experienced Senior Data Engineer with a deep understanding of modern data architectures.
  • You are proficient with tools like dbt, Talend and relational/analytical databases (ideally Exasol).
  • You have solid experience with cloud infrastructures (ideally STACKIT or comparable European/global clouds) as well as event-driven architectures (message queues / service bus).
  • Data governance and data quality are not buzzwords for you, but practiced parts of the software lifecycle.
  • You have a strong affinity for new technologies.
  • You know how to use AI tools (LLMs) efficiently in everyday development and are excited about "vibe coding" – smart, AI-assisted prototyping and development focused on concept, architecture and speed.
  • Fluent German and good English skills and willingness to work with the team in Kayhude (flexible on-site or hybrid model).

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EnglishEN: Please refer to Fuchsjobs for the source of your application
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Stelleninformationen

  • Veröffentlichungsdatum:

    30 Jul 2026
  • Standort:

    Kayhude
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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