3 Data Engineer Jobs Munich

Developing and maintaining software and data environments in the context of AI, HPC and data analytics use cases for modern AI and high-performance computing hardware (e.g. GPUs, CPUs, AI accelerators), Contributing to the initial (and evolving) software stack and the supported service portfolio of the AI Factory within an engaging and open work environment in a highly motivated, international team with opportunities to contribute with your own ideas, Supporting development of the platform that enables customers of HammerHAI to access and provide their own AI data sets and models, Fostering contact with collaboration partners as well as stakeholders from the European AI ecosystem, relying on your friendly personality and communication skills, Opportunities to work with national and European partners on novel AI R&D projects from the private and academic sectors., Maintaining relationships with technology providers and system developers (software/hardware).

Entwicklung und Betrieb einer modernen, skalierbaren und sicheren Speicherinfrastruktur für sensible Forschungsdaten auf Basis der Software Defined Storage Lösung von Quobyte., Mitwirkung beim Aufbau des neuen Services, seines technischen Fundaments, des Nutzungskonzepts, der Dokumentation und der operativen Prozesse., Überwachung und Optimierung der zugrunde liegenden Infrastruktur., Automatisierung von Abläufen., Sicherstellung des zuverlässigen, performanten und sicheren Betriebs von Hard- und Software., Unterstützung von Forschungsverbünden wie dem Deutschen Humangenom-Phenomarchiv (GHGA) oder der Bavarian Cloud for Health Research (BCHR).

Develop and operate a modern, scalable, and secure storage infrastructure for sensitive research data., Oversee and optimize the underlying infrastructure., Automate processes., Ensure reliable, performant, and secure operation of hardware and software., Contribute to the setup of the new service, its technical foundation, usage concept, documentation, and operational processes., Support research consortia like the German Human Genome-Phenome Archive (GHGA) or the Bavarian Cloud for Health Research (BCHR).

Eigenständige Konzeption, Modellierung und Umsetzung innovativer Applikationen im Qlik‑Umfeld, Gestaltung und Implementierung aussagekräftiger KPIs für unterschiedliche Geschäftsprozesse – in enger Abstimmung mit unseren Fachbereichen, Koordination, Priorisierung und strukturiertes Aufnehmen von Anforderungen gemeinsam mit den jeweiligen Ansprechpartnern, Analyse und Bearbeitung von Supportanfragen sowie Durchführung effizienter Fehlerbehebungsmaßnahmen im BI‑Umfeld, Betreuung, Optimierung und kontinuierliche Weiterentwicklung unseres BI‑Tools Qlik Sense, Administration, Pflege und Weiterentwicklung der Datenanbindung mit verschiedenen Quelle-Systemen

Own end-to-end data and AI workstreams within enterprise customer deployments - from data discovery and architecture design through to live, production-grade pipelines on carbmee EIS™., Engage directly with customer data, IT, and sustainability teams to understand their data environments, ERP structures, and emissions reporting needs, and design scalable integration and modelling solutions., Build and deploy AI-powered pipelines for supplier emissions data collection, product carbon footprint calculation, spend-based estimation, and Scope 3 data quality improvement., Develop and fine-tune machine learning models and LLM-based workflows to enhance emissions data coverage, accuracy, and inference at scale., Integrate carbmee EIS™ with ERP systems (especially SAP), procurement platforms, and third-party data sources via APIs, data pipelines, and custom scripts (Python, SQL)., Transform and prepare complex, messy enterprise datasets for integration, ensuring consistency and alignment with carbmee's data model., Translate complex model outputs and data analyses into clear, executive-ready insights that drive decarbonization decisions., Feed data and AI learnings back to carbmee's product engineering team to continuously improve the intelligence capabilities of the EIS™ platform.

Own and deliver timely, high-quality deployments of the Predium Platform by leading end-to-end data onboarding (feasibility, completeness, risk assessment, issue resolution) to meet customer requirements, accelerate time-to-first-value, and generate measurable business impact., Support in training, kickoff sessions and customer meetings to ensure that the product is meeting customer needs and having concrete impact on their operations., Build scalable onboarding frameworks supported by internal tooling and automation to ensure consistency, increase efficiency, and reduce manual workload across deployments., Collaborate with our Product, Data and Engineering teams to tackle workflow problems, resolve product issues and inform product improvements., Partner with Sales as the technical expert on Predium’s platform, joining prospect conversations to explain capabilities, answer technical questions and assess implementation feasibility and risks., Mentor team members and elevate analytical and operational standards across the function.