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05/09/2026
Full time
Senior Data Engineer (m/w/d) – Renewable Energies | Asset Ocean GmbH Hamburg
Asset Ocean GmbH Remote (Hamburg, Germany / Neubiberg, Germany)
  Shape the future of renewable energy through data, AI, and engineering excellence. At Encavis, we believe data is a strategic asset that drives better decisions, smarter operations, and the energy transition. As a Senior Data Engineer (m/f/d), you will play a key role in evolving Asset Ocean, our central enterprise data platform, and help transform large-scale renewable energy, operational, and business data into trusted, high-value data products.This is more than a traditional data engineering role. We are looking for engineers who think beyond pipelines and technology, understand business outcomes, and embrace the next generation of data engineering. You actively leverage AI-assisted and agentic engineering approaches to build better solutions faster, while applying your engineering judgment to ensure quality, reliability, and maintainability. You will work closely with stakeholders across Asset Management, Operations, Risk, Trading, Finance, and Technology to...
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...