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2 data engineering jobs found in Cologne

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Full time  (2)
parcIT GmbH
05/03/2026
Full time
AI Specialist (m/f/d)
parcIT GmbH 50672 Cologne, Germany
Your daily tasks will include:   Big Data, bank management, and... Working in a new interdisciplinary AI team in the area of ​​data management and IT operations, contributing to the development of new processes and workflows. Anchoring the use of AI in the daily work of employees and in parcIT's process architecture, e.g., by creating concepts and proposed approaches, as well as implementing defined measures. Advising colleagues on the use of AI with a view to the business benefits and the regulatory environment of parcIT, e.g., in make-or-buy decisions or when comparing different solutions. Analyzing use cases, identifying optimization potential, and prioritizing and implementing suitable AI use cases. Collaborating with internal stakeholders in the areas of data, technology, and governance, as well as external providers of AI solutions. What sets you apart:   Team spirit and... A completed degree in computer science, mathematics, engineering, data science, business...
Circonomit
17/02/2026
Full time
Applied ML Researcher
Circonomit Cologne, Germany
At Circonomit, we build the strategic twin of organizations. By transforming operational data into clear decision models, we revolutionize how resources are managed. As an Applied ML Researcher (Lead Modeller), you will take full ownership of the modeling core of our platform. You will work directly with our CTO to design, formalize, and implement the computational and semantic models that translate real-world organizational complexity into executable decision intelligence. Join our nerdy, fast-paced team to build the models that turn human knowledge and data into strategy. Responsibilities Lead the modeling core with fundamental mathematical, statistical, and machine-learning methods that bring customer and market data with knowledge into an executable strategic twin Translate business reality into formal models and work closely with product, domain experts, and customers to convert messy, real-world organizational structures into clean, computable abstractions...
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