7 devops jobs found in Stuttgart

At Mimacom, we are always one step ahead of the curve. We develop digital products that enable companies to achieve faster, easier and more impressive results, be it in banking, retail, manufacturing, life sciences or other areas. Currently, our software solutions shape the lives of 50 million users every day. Behind each of our products is a brilliant group of people who share the same values ​​and work together to develop solutions to real problems. Come join Mimacom as a Data Engineer (m/f/d) and let's create something amazing together! What you do: Are you passionate about analyzing complex data-driven questions and gaining new insights? As a Data Engineer (m/f/d) you will help our customers pave their way to a modern data platform and state-of-the-art architectures and technologies. Your tasks include: Analysis & Architecture: you will be responsible for requirements analysis and design of the architecture as well as the design of data architectures...

begin ASAP Duration > 12 months These exciting tasks await you: You are responsible for managing the entire project portfolio to achieve the business and strategic goals. They work closely with the data analyst team. The focus is on customer data, guarantees, governance, field events and driving data. You make data-driven decisions closely with manager Data Analytics. As a PMO, you will manage live analyses and data streaming You support the data analysts in their hands-on tasks in the company. (Directly on the vehicle) What you bring: 3-4 years of relevant experience as a PMO (ideally in a data environment) AI experience is an advantage German C1 Level (English is a plus) Key data: Stuttgart-Untertürkheim promptly 2 days a week home office Automotive industry 40 hours/week

The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the...

  IT people can choose where they work... ...they say. We say: That's it! We'll give you a few solid arguments that will convince you to start working with us. Welcome to the  Dussmann Group,  your employer of choice! We are a family business from Berlin and are passionate about our customers, colleagues and the innovative development of the group. IT drives topics such as cloud solution & infrastructure management, IT operations & services, business intelligence & engineering, ERP & CAFM development, transformation management, employee portals, and so much more.  Be part of IT! Humor, empathy, transparency and mutual recognition are an integral part of our everyday work. Your new, friendly team members can and will confirm this when you meet them. There is no boredom with us - but plenty of room to develop and grow. Long story short - just see for yourself as a  Cyber ​​Security Analyst (m/f/d)  at the...

Reference number:  J000012517 Entry type:  Working student position Location:  Kirchentellinsfurt Company:  Cellforce Group GmbH Tasks For our "Digital Solutions and Processes" department in the area of ​​IT operations and data governance, we are looking for support from a talented working student (m/f/d) for approx. 16 - 20 hours per week. We work as a hybrid team and meet together 1 to 2 days a week on site at our office in Kirchentellinsfurt or Tübingen. The team language is mostly German. Knowledge of English is required to ensure communication with international colleagues. Your tasks include: Implementing data pipelines, analysis and data collection tools Creation of documentation & training materials for the use of the tools Supporting employees in using the tools Close collaboration with colleagues within the Digital Solutions team, our data hubs in production and R&D, and...

  Tasks Data pipeline development: Assist in the design, development and maintenance of robust data pipelines for collecting, processing and storing data from various sources across the entire production line Data integration: Integrating different data sources to ensure seamless data flow and consistency between systems Data catalog management: Support in creating and maintaining a comprehensive data catalog Ensuring data quality: Implement and monitor data quality checks to ensure the accuracy, completeness and reliability of data throughout the pipeline Automation: Develop and operate ETL pipelines based on IoT and cloud technologies such as AWS IoT Core Greengrass, AWS Glue, Amazon S3, Redshift and Amazon Lambda Collaboration: Collaborate with cross-functional teams, including engineers, data scientists, analysts, and IT professionals, to understand data requirements and deliver solutions that meet the requirements...

Hand in hand for tomorrow Become part of a great team as: Data Scientist (m/f/d) This is your task: You automate business processes based on data science and Gen-AI methods and tools You implement digitization projects in cooperation with the specialist departments You create new machine learning services with a focus on information extraction and language models Using cloud technologies such as Azure, you integrate the developed models into the existing system Tracking the latest developments in machine learning and evaluating generative AI models such as ChatGPT are also part of your responsibilities This is what sets you apart: Through your completed degree in mathematics or computer science or a comparable course of study, you have the necessary specialist knowledge You have practical experience in developing machine learning services, ideally with initial insights into embedding...