8 data engineer jobs found in Frankfurt am Main

At Liebscher & Bracht, we don't believe in gut feeling in e-commerce. We believe in data that clearly shows what works – and what doesn't. That's why we're building a setup where analytics, tech, and business are tightly integrated. And that's exactly where you come in. Are you eager to delve deeper into data, identify patterns, and derive real decisions from them? Do you want to do more than just create reports, but truly understand how an e-commerce business grows? Your mission: You help us make data-driven decisions the new normal. You build dashboards and KPI systems for e-commerce, marketing, and finance. You analyze traffic, conversion, and customer journey data and identify growth drivers. You connect data from the shop, CRM, marketing and app and help build clean, scalable data pipelines. You will be working on building our data and analytics infrastructure (including data warehouse). You automate reporting and data processes using Python,...

Occupation as of:   January 1, 2026 Contact person responsible for the position:   Areti Christina Theodoridou (recruiting@deka.de) We are   DekaBank   – the securities house of the German savings banks and one of the largest fund providers in Germany. We develop first-class products and are close to our customers. With customized investment solutions, we support the savings banks in their advisory services. We are developing new offerings for digital securities trading. Are you ready? Let's shape the financial world of the future together! What do we offer? A modern working environment. We foster team spirit as well as individual development opportunities for personal career advancement. Because all our employees contribute their creativity, passion, personality, and expertise – and that's what makes us who we are. Next move @ Deka – help us shape the IT world of tomorrow! You will effectively utilize your DevOps experience in complex cloud environments! In...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work on machine learning challenges at the intersection of software, hardware, and performance. Your work will help us build intelligent systems that understand complex workloads and improve how software runs on modern processors. What you will be doing : Develop and improve deep learning models that support our core optimization and search systems Explore...

DevOps Engineer (m/w/d) ASC is a leading global provider of software and cloud solutions for omnichannel recording, quality management, and analytics. Our target groups include all companies that record their communications, particularly financial service providers, contact centers, and public safety organizations. We offer solutions for recording and AI-based analysis and evaluation of all communication media – with maximum flexibility as a highly scalable cloud service, on-premises, or a hybrid solution. Headquartered in Germany, with subsidiaries in 13 locations and certified partners in over 60 countries, ASC is the industry leader in Europe and a top global player. We are continuously expanding our team and are currently looking for a   full-time   DevOps Engineer   for our   location in Hösbach   . As a DevOps Engineer, you will develop innovative solutions in a technically demanding, dynamic environment, which ASC markets as cloud services. You are...

Introduction Join Avanade's Global Integrated Center of Excellence (ICOE) as a hands-on AI Application Architect, helping design intelligent, agentic, cloud-native applications. You will apply advanced AI techniques to accelerate every phase of the delivery lifecycle—from analysis and design to build, test, deploy, and operate—driving transformation across complex enterprise landscapes. Come join us As part of the Application & Infrastructure SME team within the ICOE, you will focus on modern application architecture while pioneering the use of agentic AI in real delivery scenarios. You will collaborate closely with Avanade Regions on both direct and indirect deals, supporting them during solving phases as well as during critical delivery phases. Whether modernizing legacy systems or building solutions from scratch, you will apply agentic AI to transform how projects are executed end-to-end. This is a unique opportunity to influence Avanade's architecture...

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor from CPUs and GPUs to novel accelerators using a self-learning compiler and cloud-scale optimization infrastructure. Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute. As a Machine Learning Engineer at Daisytuner, you will work at the intersection of compilers, hardware, and performance. Your work will help us build intelligent systems that understand complex program behavior and improve how software runs on modern processors. You will apply machine learning to structured program representations, compiler transformations, and real-world performance measurements. What you will be doing...

Location: Rhine-Main area (Frankfurt/Wiesbaden) / hybrid Symbiosika - AI-driven robotics About us: At Symbiosika, we are developing a cognitive service robot for indoor use. Your mission: As a VLA AI Engineer, you will build the next generation of multimodal AI models that seamlessly combine visual perception, speech understanding, and robotic actions. You will develop: - scalable data pipelines for collecting, annotating and processing multimodal datasets. - End-to-end training & fine-tuning workflows for Vision-Language-Action models - Tools and processes for evaluating and optimizing VLA architectures - Stable production infrastructure for model deployment and monitoring What you bring: Must-have: - Software nerd and AI enthusiast - Practical experience in training and fine-tuning large multimodal machine learning models (VLA, VLM, LLM) => Please provide references! Nice-to-have: - Robotics experience (teleoperation, simulation,...