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2 data engineer jobs found in Munich

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Data Governance Munich data engineer
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Full time  (2)
H&Z Unternehmensberatung GmbH
25/09/2026
Full time
(Senior) Consultant Data Engineering & Software Development (m/f/d)
H&Z Unternehmensberatung GmbH München, Germany
Munich, Oldenburg Full-time Permanent position position Do you want to support clients in developing modern data platforms and enjoy creating technical solutions while collaborating with specialist departments and stakeholders? Transforming raw data into a reliable basis for decision-making and getting your hands dirty in the process – does that sound like you? Then we have the right job for you: (SENIOR) CONSULTANT DATA ENGINEERING & SOFTWARE DEVELOPMENT What needs to be done? You will support our customers in the conception, implementation and productive use of modern data platforms and data management solutions. You design data warehouse and lakehouse architectures from the initial idea to live operation – and bring a clear vision for clean software development. You develop and operate robust ETL/ELT pipelines not only with AI support, but also with the necessary focus on monitoring and reliable fault handling. You...
REPLY
26/09/2026
Full time
(JUNIOR) AI APPLICATION ENGINEER || AI PRODUCTS LLM & RAG (M/F/D)
REPLY München, Germany
MUNICH, BERLIN, HYBRID Tasks As a (Junior) AI Application Engineer (m/f/d), you will design and develop AI-powered applications and product features for enterprise clients. Your responsibilities will include: Conceptualization and development of AI applications such as enterprise assistants, co-pilots, semantic search platforms and automation systems Support in the development of LLM-based solutions (including RAG) and end-to-end AI products, integrating APIs, enterprise data, and backend services. Building scalable AI microservices, APIs, and vector search, embedding, and retrieval systems Rapid prototyping of AI features and their further development into production systems Close collaboration with product managers, designers, AI engineers and customers to develop effective solutions Deployment of AI systems in cloud and production environments using modern DevOps practices Ensuring reliability, scalability, and...
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