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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).
Bereit?
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