Das ist der Job
Innovation & AI: You experiment with LLMs and integrate AI-powered workflows into our data structures.
Darum lohnt es sich
Responsibilities Architecture & pipeline design: You design, build and optimize scalable data pipelines and modern data platforms in cloud environments (including STACKIT). 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.
Requirements You are an experienced Senior Data Engineer with a deep understanding of modern data architectures.
Fluent German and good English skills and willingness to work with the team in Kayhude (flexible on-site or hybrid model). #J-18808-Ljbffr 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. Data excellence: You establish high standards for data governance and data quality so our data is always reliable, secure and compliance-ready.
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.
