Job offer

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Your Tasks

  • Management of development tasks and coordination with Data-Intelligence Hub team leads
  • Map customer requirements to current and future offerings to make sure that the requirements are implemented on data-economy standards (IDS/ GAIA-X)
  • Perform consultative, solutions-based design and thought leadership for business clients who desire outsourced infrastructure options to enhance their own technical capabilities
  • Determine client requirements and provide internal and external insight in support of solutions deliverables
  • Pre-sales design and implementation expertise in Data-Economy architectures and methodologies
  • Present technical training & best practices to new and existing developers and solution architects
  • Provide technology consulting for internal contacts in Product Management and Data Experts, and translate prospective customer requirements into recommendations for new or enhanced products and features
  • Continuously learn and update skills in quickly evolving technologies

Your Profile

  • Has a bachelor or master’s degree in the following areas: Data Science, Business Administration, Information Technology or Computer Science with at least +2 years of professional experience in the field of data & data-economy, experience with the Telekom Data Intelligence Hub is an advantage
  • +3 years’ experience in Cloud-Technologies and Architectures (e.g., Microsoft Azure, Open Telekom Cloud, Big Data Hadoop) & Minimum & success working in a customer-facing role
  • Experience in business consulting or technology strategy development in data-driven business, big data or similar fields
  • Hands-on, technical, problem solver with experience in technical management of international software projects
  • Experience working in an agile environment, e.g., SCRUM
  • Experience in the design, operation and further development of Data Analytics / Public Cloud Stack - future PaaS/SaaS features (e.g., Serverless, Edge, Hybrid, AI) by using agile development methods (DevOps)
  • Experience in (functional) programming languages, e.g., Python, java, R, Scala, Javascript
  • Basic knowledge in mathematics and statistical methods and tools is required (e.g., R, Pandas, Scikit-Learn, Numpy/Scipy, Matplotlib, Jupyter, Anaconda, Tensorflow/Pytorch).
  • Basic knowledge in two of the following methods are desirable: clustering, classification, modeling, regression, text analysis, pattern recognition, neuronal networks. Understanding of machine learning principles and methods

Severely disabled applicants with equal qualification will be given particular consideration.

What we offer

  • Flexible working hours

    Room for professional and private challenges - with our flexible working time models, we offer the opportunity to work self-determined. Exactly as it suits life and your current situation.

  • Training offers and allowances

    Lifelong learning is essential for us. Whether on site or digitally. We offer a wide range of further education opportunities - from seminars to part-time studies.

  • Pension scheme

    Well positioned for the future - we offer a company pension scheme and pay regular contributions into a personal pension account depending on the age and income of our employees.

  • Employee discounts

    Products and services at a discount - our employees receive discounts in the fixed network, Internet, mobile communications, TV and Smarthome sectors. Family and friends also benefit from many offers.

About us

About us

This position is filled in the Data Intelligence BU in the Digital Solutions portfolio unit of T-Systems International GmbH. The Data Economy chapter (Data Intelligence Hub) focuses on the development of the Telekom Data Intelligence Hub (DIH). We use the full range of data sources, from IoT to social media, to create sustainable innovation/value from the use of data and AI building blocks. Our solutions are both the memory and the brain of digitization. We use state-of-the-art open-source technologies and reference architectures from the IDS and GAIA-X environment. Always with the goal of bringing our customers' digitization strategies to success in the context of data spaces. As Germany's largest digital service provider, we shape the digital world together with our customers in a constantly growing market.


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