SeniorDataEngineer–AI&AgenticPipelines(m/f/d)

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field, Experience with hybrid Data Lake and Data Warehouse architectures, Experience with analytical cloud data warehouses (Redshift, Snowflake), Data transformation using dbt, Orchestrating interdependent workflows with Apache Airflow, Hands-on experience with AI coding assistants, Hands-on experience with agentic workflow automation, Ability to leverage LLMs with contextual data, Solid understanding of RAG systems, Demonstrated experience designing agentic architectures where LLM-driven agents are orchestrated across coding, validation, and data quality stages with structured quality gates, Experience building or evaluating multi-agent orchestration (coding → QA → validation agents), Experience building or evaluating multi-agent orchestration, Experience building or evaluating coding agents, Experience building or evaluating QA agents, Experience building or evaluating validation agents, Ability to decompose complex data problems into structured, measurable specs — including dependencies, non-functional requirements, and edge cases — that agent systems can consume and execute with high reliability, Capable of identifying architectural drift in agent-generated outputs and course-correcting before it compounds, Foundation in engineering best practices throughout the development lifecycle, including agile methodologies, code reviews, source control (GitHub), CI/CD pipelines (Jenkins), testing, and operations, Deep understanding of data management fundamentals, distributed systems, and data storage/compute principles, Vector and/or graph databases feeding RAG is a plus