Let’s play a game

The game is called ’Don’t hesitate’ and it only has one rule: if you see something that would be a good fit for you, just hit ‘Apply now’ and remember: don’t hesitate!

Team Leader

Ideal candidate:

  • Language skills: German fluent, English good knowledge;
  • Minimum a bachelor’s degree;
  • Human Resources experience (min. 3 years);
  • Management Experience (directly or in projects);
  • A broad understanding of the organizational structures of Deutsche Telekom and Deutsche Telekom Services Europe;
  • Ability to work independently;
  • Good ability to work as part of a team, engagement and personal initiative;
  • Maintaining an overview and handling severe work load;
  • Strong analytical and problem solving skills;
  • Strong verbal/written skills and attention to detail;
  • Ability to consistently deliver high quality customer service in a professional manner;
  • Taking initiative in a proactive manner to improve own and team work practices.

Job description:

  • Professional and disciplinary management of the assigned employees incl. all common employee tools;
  • Close cooperation with managers of other teams as well as with departments of the back office and production support;
  • Ensure service levels of own team;
  • Taking over escalation talks;
  • Preparation of reports and key figures;
  • Daily steering and prioritization of orders to be done;
  • Operational support – project work;
  • Team coaching, motivating, mentoring;
  • Coordinates and distributes the work of the team and defines team priorities;
  • Ensures resource planning (back up, holidays);
  • Supports team in identification of unusual events or consistent problem areas and in issue resolution;
  • Promotes team work focusing on customer service.

What do we offer you?

  • A great place to develop your career, challenging tasks, dynamic and intercultural working environment
  • Great training opportunities within a multinational company
  • Motivational financial package

HR Customer Interaction Specialist with German


• Acts as a supporter of Human Resources Service for Compensation & Benefits, Travel, Time Management, Employment and Placement areas focusing on customer service;
• Consults customers by phone for all Human Resources products;
• Demonstrates concern and empathy in all customer interactions;
• Processes electronically written requests (email, chat, AMS, SAP)
• Registers, classifies and finalizes customer orders in the order management system (AMS) or forwards them to the back office departments;
• Maintains close cooperation with the team leader, as well as, with the back office departments;
• Maintains process information documentation and procedures in the knowledge management system;
• Tracks and processes issues and service quality complaints and escalates the issues following the escalation procedure;
• Answers employees, managers or candidates inquiries using the Knowledge tools and the Contact Center available system;
• Suggests methods to update, simplify and enhance processes, procedures and technologies.

Ideal Candidate:

  • Language skills: German fluent, English knowledge
  • Minimum – bachelor’s degree
  • Knowledge in handling IV-systems (AMS, SAP, MS-Office)
  • Customer care experience and the ability to consistently deliver high quality customer service in a professional manner
  • Working independently
  • Team player, customer-focused attitude, own initiative, listening skills


• Opportunities to grow & develop in a start-up environment,
• Dynamic and multicultural working environment
• Great training opportunities
• Motivational financial package
• Meal tickets
• Medical insurance


Data Scientist in Financial Applications

Ideal candidate:

  • University degree in fields of computer science, business administration with a strong focus on information technology or a quantitative degree in mathematics, statistics, engineering with an additional focus on informatics and business administration
  • Excellent understanding of data-driven statistical methods, data mining, time-series analysis and machine learning algorithms
  • Proven knowledge in software engineering and architectural design
  • Ability to lead a complex data science project
  • Good scripting, programming and database skills (e.g. relational databases, R, Python, TensorFlow, Apache software stack: Hadoop, Spark)
  • Languages: Fluent written and spoken English, German skills beneficial
  • Knowledge of SAP products (especially SAP BW, SAP Hana, SAP Predictive Analytics) is a strong plus


  • Exploring and developing new use cases for data science methods within different domains of financial applications (e.g. prognosis of cash flow)
  • Detailing business requirements and set up of project according to CRISP-DM standards
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Doing ad-hoc analysis and presenting results to management
  • Creating automated anomaly detection systems
  • Constant tracking and optimization of model performance
  • Coordination and communication with our internal IT service department


  • Motivational financial package
  • Meal tickets
  • Medical insurance
  • Opportunities to grow and develop in a start-up environment
  • Dynamic and multicultural working environment
  • Great training opportunities
  • Transportation