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FUTRUE

Senior Data & Cloud Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeGräfelfing, GermanyNo salary listedHybrid

About the Job

Requirements

  • A completed degree in computer science, business informatics, or a comparable qualification, or relevant practical experience.
  • Strong knowledge of Python or another high-level programming language, with routine use of Git, REST APIs, and JSON.
  • Practical experience with cloud platforms such as Azure, AWS, or comparable platforms for data infrastructure, workflow automation, and backend systems, including understanding how scalable architectures work in practice.
  • Experience integrating heterogeneous SaaS, on-premises, and cloud systems, including API connections, OAuth2, data mapping, and transformation.
  • Productive use of AI coding tools such as Copilot, Cursor, or Claude Code, and experience or strong interest in integrating LLMs and AI agents into business processes.
  • Ability to take responsibility for code and systems from initial development through production operation and understand how technical quality affects business outcomes.
  • Fluent German at least at C1 level and good English.

Responsibilities

  • Develop, operate, and continuously optimize data and backend infrastructure based on Azure Synapse Analytics, SQL, ETL/ELT pipelines, and APIs.
  • Automate repetitive processes across the full workflow, from data collection and transformation through reporting.
  • Take responsibility for production deployment and rollout of data-driven applications and automation solutions, from design through stable operation.
  • Build and continuously improve deployment, release, and monitoring structures for the growing system and data environment.
  • Develop and integrate AI-powered features such as LLM workflows, automations, and intelligent data processing into existing systems.
  • Maintain and troubleshoot existing systems and ensure availability, performance, and data quality in ongoing operations.
  • Work closely with Finance, E-Commerce, Operations, and IT, translating data requirements into production-ready solutions.
  • Actively shape the technical architecture and contribute to building a modern, future-ready data platform.

About the Company

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